Metaspectral is the trading name of Vancouver-based MLVX Technologies Inc., which develops software for interpreting hyperspectral imagery: images in many wavelength bands that help distinguish materials with similar visible appearance. Its Clarity platform combines spectral analysis, deep learning and reviewable evidence for Earth observation, defence, industrial sorting and emissions monitoring. Co-founder and CEO Francis Doumet leads a team spanning spectral science, deep learning, FPGA architecture and software.
Systems and integration
Clarity Geo combines classical spectral methods with deep-learning unmixing and target detection. Unmixing estimates contributions from materials mixed within one pixel; results depend on sensor response, calibration, representative backgrounds and reference spectra. The platform records source data, processing, model versions and review history, with on-premises or cloud analysis.
A May 2025 company walkthrough detects ships in Wyvern imagery of Suez/Great Bitter Lake using 23 bands at 500–800 nm and 5.3 m ground sampling. Its 562 training and 141 validation ship pixels and reported 0.000045 false-positive rate describe that labelled example, rather than a fleet trial or an object-level maritime false-alarm guarantee. An April 2026 MUUFL study reports stronger object-level scores than its best classical comparator in 9 of 12 cross-flight comparisons; performance weakens as acquisition conditions change.
The September 2026 Cuprite experiment uses library-initialized, sensor-adapted models. Clarity recovers an LS-supported mineral at 10/12 eligible sites versus Tetracorder 12/12. Its hit rule does not penalize extra detections or establish complete material-mixture accuracy. These studies support a workflow and representative testing, rather than a universal detection claim.
Recover handles industrial material sorting and Plume supported atmospheric gases. Recover ties evaluation to customer material, purity/yield and ejection timing. Plume’s small company evaluation retains missed releases and conditional rate errors. The product lines need different sensors, acceptance criteria and buyer workflows.
Operating context
Metaspectral’s Clarity products address different buying decisions: Geo processes Earth-observation imagery, Plume supports emissions investigations, and Recover classifies materials for industrial sorting. Geo workflows require suitable sensors, corrections, scene preparation and validation against the intended task. Recover starts with representative material and line testing. Integration access is scoped: the Python 3.10+ fusion_sdk wheel is supplied to specific customers, while the current ArcGIS Pro add-in and installation guidance come through support because the earlier Marketplace distribution is unavailable. Deployment can be on premises or in private/public cloud; security and data-handling arrangements are agreed per engagement.
Canadian footprint
Metaspectral operates as MLVX Technologies Inc. in Vancouver, with a public address at 201–228 East Georgia Street. Canadian development activity includes PacifiCan-supported commercialization of AI waste-sorting systems and a CSA-supported invasive-plant monitoring project. The funding objectives establish Canadian work and intended growth, not a completed hiring or deployment count.
Vancouver, British Columbia is the published city-level context for Metaspectral. It does not imply a street address or exact facility location.
Metaspectral is relevant to a Canadian team evaluating spectral analysis near a sensor or inside an analyst workflow. Its Clarity software combines material analysis with reviewable outputs; DND’s funded maritime-lookout project provides a concrete naval R&D connection, and its C4ISR arrangement provides an access route. These facts support a technical discussion with CEO Francis Doumet about the tested configuration, supplied interfaces and acceptance evidence for a bounded pilot. Existing Edge Data Processing and Arctic Domain Awareness reads remain conditional on suitable sensors, scene conditions, secure deployment and representative validation.
Interpretation of the public record. Not qualification, endorsement or evidence of buyer interest.
Remote-sensing workflow for gas-plume mapping and source investigation, with georeferenced outputs, evidence and confidence context, and rate estimates where supported. Sensor choice, gas, geography, revisit cadence and conditions determine scope; the service does not imply continuous coverage or a universal detection limit.
Evidence of maturity
Company evaluation detected 16/25 PRISMA and 5/8 EMIT releases, with median absolute percentage errors of 46% and 27% among detections. Samples are small; a 571.8 kg/h Ontario release was missed.
Commercial availability
Site and sensor scoping through Metaspectral; representative validation is required.
Core features
Gas-plume mapping with georeferenced evidence and confidence context
Source investigation and conditional emission-rate estimation
Sensor and observation planning matched to site, gas and cadence
Industrial spectral classification and sorting integration
Read technical summary
Spectral AI workflow for identifying materials in recycling and industrial sorting, including black plastics, polymer blends, multilayers and automotive shredder residue. Integration begins with representative material testing and evaluation of line conditions, classification and ejection timing.
Evidence of maturity
Commercialization supported by a PacifiCan contribution; website calculator inputs are illustrative and do not establish plant performance.
Commercial availability
Material evaluation and integration project scoping with Metaspectral.
Core features
Edge material classification for complex plastics and mixed streams
Representative sample and line testing before integration
Purity, contamination, recovery and ejection-timing evaluation
Hyperspectral analytics and workflow integration software
Read technical summary
Clarity combines spectral data preparation, material or anomaly analysis and reviewable outputs across Earth observation, industrial sorting and emissions workflows. Geo processes selected satellite and airborne imagery; integrations include a customer-provisioned Python SDK and support-assisted ArcGIS Pro add-in.
Evidence of maturity
Commercial workflows with application-specific evaluations; performance and security qualification depend on the deployment.
Commercial availability
Project scoping and supported integration access through Metaspectral.
Core features
Sensor selection, calibration and scene preparation for Earth-observation analysis
Material classification, anomaly results and confidence context
Python 3.10+ fusion_sdk for data and result workflows, provisioned for specific customers
ArcGIS Pro add-in with band-compatible inference models and GeoTIFF result retrieval
On-premises, private-cloud and public-cloud deployment options
Recorded applications
Earth-observation analysis
Public record
Recent activity
Sep 25, 2026
In a publicly accessible study dated September 25, 2026, Metaspectral reports a company-run Clarity mineral-mapping study using library pretraining, sensor-specific adaptation and held-out EMIT scenes. At Cuprite, Clarity recovered an LS-supported mineral at 10 of 12 eligible sites, compared with 12 of 12 for Tetracorder. This provides a defined transfer test, with the small sample and scoring limits retained.
Clarity is offered through scoped imagery and material evaluations and supported integration projects. The C4ISR supply arrangement provides a federal access route through March 2033, with no paid orders established by its CAD0 listing. SDK and ArcGIS access require provisioning or support; hosting and security terms are agreed per engagement.
Financing and disclosed activity
PacifiCan contribution PC0011868 records C$2,554,685 for March 18, 2026–December 31, 2029 for AI waste-sorting adoption in BC, with commercialization, sensors/hardware and skilled hiring as intended uses. ECCC announced C$799,679 Phase 2 flexible-plastic sorting prototype support in October 2025, following its C$150,000 INSPIRE grant in March 2024. CSA agreement 25AO4MLVX records C$249,995 for September 2025–September 2027 for invasive leafy-spurge monitoring. BC’s CleanBC lists give C$419,226 in 2023 and C$307,533 in 2021. These values describe awards or agreements, not confirmed cash received or completed deployment. Separately, Metaspectral announced a completed $4.7 million seed round in November 2022 involving SOMA Capital, Acequia Capital, government and angels. The announcement specifies neither currency nor instrument breakdown. Current ownership percentages, revenue and cash runway are not disclosed in the inspected sources.
Programs and deployments
C4ISR Supply Arrangement
Supply arrangement holder
Sponsor or operator: Public Services and Procurement Canada
Awarded
Organization role. MLVX Technologies Inc., operating as Metaspectral, holds W7701-176500/009/MTB, awarded July 10, 2023 and expiring March 31, 2033. The record shows an August 6, 2026 amendment and total CAD0; individual orders are not established.
Program. Federal supply arrangement providing a C4ISR procurement route. Arrangement status and zero recorded value do not establish paid orders or operational acceptance.
Clarity imagery analysis could complement environmental and material mapping within Canada’s broad northern surveillance objectives. Sensor access, illumination, atmospheric conditions, ground truth and validation constrain any northern application; published methane examples do not establish defence detection performance.
What configuration and trial results came out of the maritime-lookout project, and which detection, tracking and operator-workload criteria were demonstrated at sea?
DND funds machine-learning and augmented-reality lookout support, while the public company ship example is a labelled satellite-image demonstration. These establish different proof stages.
02
Which sensor inputs, processing hardware, SDK/add-in versions and security controls would be supplied for an on-premises Canadian pilot?
Clarity offers on-premises inference, customer-provisioned Python access and a support-assisted ArcGIS add-in. Historical compression targets do not specify current deployable hardware.
03
How will false alarms, misses and calibration drift be measured on a new site or sensor before the output enters an operational decision?
Cuprite recovers an LS-supported mineral at 10/12 sites versus 12/12 for Tetracorder; maritime and methane examples use different data and scoring. Transfer needs task-specific acceptance data.
04
What purity, recovery, throughput and ejection-timing results can Recover demonstrate on representative material from a proposed sorting line?
ECCC describes Phase 2 work toward an operationally ready flexible-plastics prototype. Recover offers sample testing and synchronized sorting evidence; funding does not establish the buyer’s plant performance.
Original sources 40 linked records
These records support the organization, its owned capabilities and their reviewed connections. A source count is not a count of independent confirmations.
Clarity Recover classifies difficult waste streams at the edge; representative-material tests provide synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. No numeric throughput specification is supplied on the current product page.
Supports: Profile · operating context
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Company evaluation detected 16/25 PRISMA and 5/8 EMIT controlled releases; median absolute percentage rate errors for detected scenes were 46% and 27%.
IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves
Funded innovator
Sponsor or operator: Department of National Defence
Awarded
Organization role. DND lists MLVX Technologies Inc. (d.b.a Metaspectral) with C$229,982.06 for maritime-lookout machine-learning and augmented-reality decision support. Funded development is established; trial outcomes and fleet adoption are not stated.
Program. DND/CAF challenge for technologies that assist maritime lookouts in detecting, characterizing and tracking objects, including night operation, while human lookout responsibilities continue.
Metaspectral announced a Planet Tanager partnership on July 15, 2026 and a Clarity demonstration environment, with a quote attributed to Planet’s Linds Panther. Planet separately specifies 400-plus bands, 30 m spatial resolution and 400–2500 nm coverage. The demonstration does not establish a defence customer or exclusive data arrangement.
Edge-computing integration partner
Armada
Armada’s May 28, 2024 announcement describes Fusion in its OpsAI Marketplace and on its Galleon/Commander Edge mobile data-centre platform. This confirms an integration/channel relationship, without a named end-customer acceptance or measured compute, power or throughput result.
Funding and ownership
Regional Economic Growth through Innovation contribution
May 11, 2026
$2,554,685
PacifiCan agreement PC0011868 runs March 18, 2026–December 31, 2029 for AI waste-sorting adoption in BC. The May 11 announcement identifies commercialization, sensors/hardware and skilled hiring. Agreement value is not confirmed disbursement.
Canadian Plastics Innovation Challenge Phase 2 grant
Oct 1, 2025
$799,679
ECCC announces Phase 2 support for MLVX/Metaspectral toward an operationally ready AI, hyperspectral and air-ejection prototype for flexible plastic sorting. Phase 1 is described as accurate and cost-effective without a numeric result.
CleanBC Plastics Action Fund award
Apr 21, 2023
$419,226
BC lists C$419,226 for Metaspectral to develop and install separation of homopolymer HDPE milk containers from copolymer HDPE containers. Greater than 90% sorting accuracy is the aim, not an achieved result.
Company-reported seed round
Nov 16, 2022
Metaspectral reports a completed $4.7 million seed round involving SOMA Capital, Acequia Capital, the Government of Canada and angels Jude Gomila and Alan Rutledge. The announcement specifies neither currency nor instrument breakdown; structured amount and currency remain unset.
CleanBC Plastics Action Fund award
May 19, 2021
$307,533
BC lists C$307,533 for Metaspectral to develop computer vision, AI and robotics for consumer-waste sorting and recycled-plastic quality. Announced development funding does not establish current revenue.
CSA space research contribution
$249,995
CSA agreement 25AO4MLVX runs September 18, 2025–September 30, 2027 to develop AI satellite monitoring of invasive leafy spurge. Contribution value does not establish cash received or operational acceptance.
ECCC INSPIRE Phase 1 grant
$150,000
ECCC grant GCXE24E081, dated March 22, 2024, provides C$150,000 for the Integrated Novel Sorting Platform for Increased Recycling Efficacy flexible-plastics project. The grant agreement does not establish payment.
Mission area · Reviewed connectionEvidence strength: Moderate
Metaspectral’s documented on-premises and industrial edge processing could reduce spectral data into material decisions near collection equipment. This is a bounded integration opportunity; disconnected operation, military security accreditation and mission-specific latency still require demonstration.
Clarity Spectral Intelligence Platform may help teams working on Major-event and critical-infrastructure cyber defence by contributing to detection and situational awareness, resilient communications and command, and cyber and digital operations.
Clarity Spectral Intelligence Platform may help teams working on Sovereign defence capability areas by contributing to detection and situational awareness, cyber and digital operations, and aerospace operations.
Reviewed connections indicate possible relevance based on public evidence. They do not indicate procurement direction, eligibility, endorsement or customer interest.
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Profile · commercial status
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Clarity Recover classifies difficult waste streams at the edge; representative-material tests provide synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. No numeric throughput specification is supplied on the current product page.
Supports: Profile · profileData.portfolioSummary
Clarity Recover classifies difficult waste streams at the edge; representative-material tests provide synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. No numeric throughput specification is supplied on the current product page.
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Clarity Recover classifies difficult waste streams at the edge; representative-material tests provide synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. No numeric throughput specification is supplied on the current product page.
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Clarity Recover classifies difficult waste streams at the edge; representative-material tests provide synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. No numeric throughput specification is supplied on the current product page.
Supports: Clarity Recover Industrial Material Sorting · technical tags
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · defence applications
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · slug
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · defence applications
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · technicaldomainslugs
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · technology readiness level
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · core features
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · capability type
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · maturity
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · core features
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · summary
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · commercial availability
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · technicaldomainslugs
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · technical tags
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · core features
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · name
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · technicaldomainslugs
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · technical tags
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Recover Industrial Material Sorting · technical tags
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Supports: Clarity Spectral Intelligence Platform → Edge Data Processing
Metaspectral offers Clarity Recover to classify material streams at the edge, including black plastics, polymer blends, multilayer materials and automotive shredder residue. Its evaluation process uses customer samples and returns synchronized detection/ejection footage, purity and contamination changes, and a recovery-value model. Throughput and recovery performance require a line-specific test; the website's calculator inputs are examples, not measured customer results.
Metaspectral publishes its headquarters as 201–228 East Georgia Street, Vancouver, BC V6A 1Z6, Canada, and admin@metaspectral.com as its general team inbox.
Supports: Profile · canadian footprint
Metaspectral lists its global headquarters at 201-228 East Georgia Street, Vancouver, British Columbia V6A 1Z6 and admin@metaspectral.com. Its contact page offers industrial material tests and Earth-observation use-case scoping, with validation on the customer's material or imagery before a larger engagement.
Supports: Profile · commercial status
Metaspectral lists its global headquarters at 201-228 East Georgia Street, Vancouver, British Columbia V6A 1Z6 and admin@metaspectral.com. Its contact page offers industrial material tests and Earth-observation use-case scoping, with validation on the customer's material or imagery before a larger engagement.
Metaspectral lists its global headquarters at 201-228 East Georgia Street, Vancouver, British Columbia V6A 1Z6 and admin@metaspectral.com. Its contact page offers industrial material tests and Earth-observation use-case scoping, with validation on the customer's material or imagery before a larger engagement.
The page makes control availability dependent on the evaluated scope.
Supports: Profile · commercial status
Metaspectral says customers retain uploaded-data ownership and that hosting, access, data sensitivity and deployment controls are assessed for the actual engagement. The public security page does not supply a universal accreditation or one-size-fits-all assurance package; control availability depends on evaluated scope.
Supports: Profile · profileData.securityPosture
The page makes control availability dependent on the evaluated scope.
The page makes control availability dependent on the evaluated scope.
Supports: Profile · commercial status
The page makes control availability dependent on the evaluated scope.
Supports: Profile · operating context
Metaspectral says customers retain uploaded-data ownership and that hosting, access, data sensitivity and deployment controls are assessed for the actual engagement. The public security page does not supply a universal accreditation or one-size-fits-all assurance package; control availability depends on evaluated scope.
Supports: Profile · profileData.securityPosture
Metaspectral states customers retain uploaded-data ownership and assesses hosting, access, data sensitivity and deployment controls for each engagement.
The September 25, 2026 company experiment trains a 244-band, eight-mineral-plus-background model on 150 EMIT scenes, split by acquisition into 120 training and 30 held-out scenes; synthetic USGS mineral mixtures initialize the model before sensor-specific fine-tuning.
At Cuprite, Metaspectral reports an LS-supported mineral at 10 of 12 eligible sites for Clarity versus 12 of 12 for EMIT Tetracorder. This small company-run site-hit test does not penalize extra detections or measure full-mixture recovery.
Supports: Profile · profileData.portfolioSummary
At Cuprite, Metaspectral reports an LS-supported mineral at 10 of 12 eligible sites for Clarity versus 12 of 12 for EMIT Tetracorder. This small company-run site-hit test does not penalize extra detections or measure full-mixture recovery.
At Cuprite, Metaspectral reports an LS-supported mineral at 10 of 12 eligible sites for Clarity versus 12 of 12 for EMIT Tetracorder. This small company-run site-hit test does not penalize extra detections or measure full-mixture recovery.
At Cuprite, Metaspectral reports an LS-supported mineral at 10 of 12 eligible sites for Clarity versus 12 of 12 for EMIT Tetracorder. This small company-run site-hit test does not penalize extra detections or measure full-mixture recovery.
At Cuprite, Metaspectral reports an LS-supported mineral at 10 of 12 eligible sites for Clarity versus 12 of 12 for EMIT Tetracorder. This small company-run site-hit test does not penalize extra detections or measure full-mixture recovery.
Supports: Profile · current activity as of
The September 25, 2026 company experiment trains a 244-band, eight-mineral-plus-background model on 150 EMIT scenes, split by acquisition into 120 training and 30 held-out scenes; synthetic USGS mineral mixtures initialize the model before sensor-specific fine-tuning.
Supports: Profile · current activity
At Cuprite, Metaspectral reports an LS-supported mineral at 10 of 12 eligible sites for Clarity versus 12 of 12 for EMIT Tetracorder. This small company-run site-hit test does not penalize extra detections or measure full-mixture recovery.
Supports: Profile · current activity
The September 25, 2026 company experiment trains a 244-band, eight-mineral-plus-background model on 150 EMIT scenes, split by acquisition into 120 training and 30 held-out scenes; synthetic USGS mineral mixtures initialize the model before sensor-specific fine-tuning.
Company evaluation detected 16/25 PRISMA and 5/8 EMIT controlled releases; median absolute percentage rate errors for detected scenes were 46% and 27%.
Metaspectral's August 27, 2026 evaluation reports Clarity Plume detected 16 of 25 PRISMA metered releases and 5 of 8 EMIT releases. For detected scenes, median absolute percentage errors were 46% and 27%, respectively. The company reports zero detections on only three PRISMA and two EMIT certified no-release overpasses; these tiny denominators do not establish a stable false-alarm rate. The evaluation missed a Petrolia, Ontario release of 571.8 kg/h; these conditional errors and small samples do not establish a universal detection limit.
Company evaluation detected 16/25 PRISMA and 5/8 EMIT controlled releases; median absolute percentage rate errors for detected scenes were 46% and 27%.
Metaspectral's August 27, 2026 evaluation reports Clarity Plume detected 16 of 25 PRISMA metered releases and 5 of 8 EMIT releases. For detected scenes, median absolute percentage errors were 46% and 27%, respectively. The company reports zero detections on only three PRISMA and two EMIT certified no-release overpasses; these tiny denominators do not establish a stable false-alarm rate. The evaluation missed a Petrolia, Ontario release of 571.8 kg/h; these conditional errors and small samples do not establish a universal detection limit.
Metaspectral's August 27, 2026 evaluation reports Clarity Plume detected 16 of 25 PRISMA metered releases and 5 of 8 EMIT releases. For detected scenes, median absolute percentage errors were 46% and 27%, respectively. The company reports zero detections on only three PRISMA and two EMIT certified no-release overpasses; these tiny denominators do not establish a stable false-alarm rate. The evaluation missed a Petrolia, Ontario release of 571.8 kg/h; these conditional errors and small samples do not establish a universal detection limit.
Supports: Profile · profileData.portfolioSummary
The PRISMA result missed a 571.8kg/h Petrolia, Ontario release; the smallest detected emissions are dataset observations rather than detection limits.
Company evaluation detected 16/25 PRISMA and 5/8 EMIT controlled releases; median absolute percentage rate errors for detected scenes were 46% and 27%.
Metaspectral's August 27, 2026 evaluation reports Clarity Plume detected 16 of 25 PRISMA metered releases and 5 of 8 EMIT releases. For detected scenes, median absolute percentage errors were 46% and 27%, respectively. The company reports zero detections on only three PRISMA and two EMIT certified no-release overpasses; these tiny denominators do not establish a stable false-alarm rate. The evaluation missed a Petrolia, Ontario release of 571.8 kg/h; these conditional errors and small samples do not establish a universal detection limit.
Supports: Profile · profileData.portfolioSummary
Company evaluation detected 16/25 PRISMA and 5/8 EMIT controlled releases; median absolute percentage rate errors for detected scenes were 46% and 27%.
Metaspectral's August 27, 2026 evaluation reports Clarity Plume detected 16 of 25 PRISMA metered releases and 5 of 8 EMIT releases. For detected scenes, median absolute percentage errors were 46% and 27%, respectively. The company reports zero detections on only three PRISMA and two EMIT certified no-release overpasses; these tiny denominators do not establish a stable false-alarm rate. The evaluation missed a Petrolia, Ontario release of 571.8 kg/h; these conditional errors and small samples do not establish a universal detection limit.
The offered platform links acquisition and preprocessing to model/workflow versions, review and outputs. It offers on-premises inference near the sensor and private/public-cloud analysis. Its page explicitly makes cloud turnaround depend on acquisition, transfer and ingestion.
Supports: Profile · profileData.portfolioSummary
Clarity AI accepts satellite, airborne, drone, industrial and customer spectral data with reference signatures, labels, samples and calibration context.
Supports: Profile · profileData.portfolioSummary
The offered platform links acquisition and preprocessing to model/workflow versions, review and outputs. It offers on-premises inference near the sensor and private/public-cloud analysis. Its page explicitly makes cloud turnaround depend on acquisition, transfer and ingestion.
Supports: Profile · description
The company combines classical correction, indices, dimensionality reduction, classification and target detection with its claimed patented deep-learning unmixing; synthetic training can begin from a single signature.
Supports: Profile · profileData.portfolioSummary
The company combines classical correction, indices, dimensionality reduction, classification and target detection with its claimed patented deep-learning unmixing; synthetic training can begin from a single signature.
The offered platform links acquisition and preprocessing to model/workflow versions, review and outputs. It offers on-premises inference near the sensor and private/public-cloud analysis. Its page explicitly makes cloud turnaround depend on acquisition, transfer and ingestion.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
The offered platform links acquisition and preprocessing to model/workflow versions, review and outputs. It offers on-premises inference near the sensor and private/public-cloud analysis. Its page explicitly makes cloud turnaround depend on acquisition, transfer and ingestion.
The offered platform links acquisition and preprocessing to model/workflow versions, review and outputs. It offers on-premises inference near the sensor and private/public-cloud analysis. Its page explicitly makes cloud turnaround depend on acquisition, transfer and ingestion.
The offered platform links acquisition and preprocessing to model/workflow versions, review and outputs. It offers on-premises inference near the sensor and private/public-cloud analysis. Its page explicitly makes cloud turnaround depend on acquisition, transfer and ingestion.
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Supports: Clarity Spectral Intelligence Platform · core features
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Supports: Clarity Spectral Intelligence Platform · core features
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Metaspectral describes Clarity Geo workflows covering sensor selection, calibration, atmospheric and geometric correction, masking, co-registration, spectral unmixing, model validation and repeatable campaigns. Supported source examples include PRISMA, EnMAP, EMIT and Tanager. Outputs include material or anomaly maps and confidence context; suitability depends on the target, sensor resolution, scene conditions and ground-truth validation.
Its labelled example used 562 ship training pixels and 141 validation pixels, with 200,000 background pixels in each set; the company claims all ship validation pixels identified and false-positive rate 0.000045.
Supports: Profile · profileData.portfolioSummary
The walkthrough trains a ship detector using Wyvern Dragonette-001 imagery over Great Bitter Lake/Suez Canal, described as 23 VNIR bands at 500–800nm and 5.3m nadir GSD.
The walkthrough trains a ship detector using Wyvern Dragonette-001 imagery over Great Bitter Lake/Suez Canal, described as 23 VNIR bands at 500–800nm and 5.3m nadir GSD.
The walkthrough trains a ship detector using Wyvern Dragonette-001 imagery over Great Bitter Lake/Suez Canal, described as 23 VNIR bands at 500–800nm and 5.3m nadir GSD.
Its labelled example used 562 ship training pixels and 141 validation pixels, with 200,000 background pixels in each set; the company claims all ship validation pixels identified and false-positive rate 0.000045.
Its labelled example used 562 ship training pixels and 141 validation pixels, with 200,000 background pixels in each set; the company claims all ship validation pixels identified and false-positive rate 0.000045.
The walkthrough trains a ship detector using Wyvern Dragonette-001 imagery over Great Bitter Lake/Suez Canal, described as 23 VNIR bands at 500–800nm and 5.3m nadir GSD.
Its labelled example used 562 ship training pixels and 141 validation pixels, with 200,000 background pixels in each set; the company claims all ship validation pixels identified and false-positive rate 0.000045.
The walkthrough trains a ship detector using Wyvern Dragonette-001 imagery over Great Bitter Lake/Suez Canal, described as 23 VNIR bands at 500–800nm and 5.3m nadir GSD.
Supports: Profile · profileData.portfolioSummary
Its labelled example used 562 ship training pixels and 141 validation pixels, with 200,000 background pixels in each set; the company claims all ship validation pixels identified and false-positive rate 0.000045.
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: Profile · defence posture
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: Profile · defence posture
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · organization participation
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
DND lists MLVX Technologies Inc. (d.b.a Metaspectral) for Decision support for maritime lookout using machine learning pattern recognition and augmented reality device, with awarded amount C$229,982.06.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
Supports: IDEaS: Better than Meets the Eye—Reliable Object Detection Amongst the Waves · canonical program
The challenge seeks human-lookout assistance for detection, characterization and tracking. Essential outcomes include visible surface/air objects, bearing/range estimates, hazard classification and night detection.
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: Profile · commercial status
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: Profile · defence posture
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: Profile · defence posture
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: C4ISR Supply Arrangement · canonical program
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: C4ISR Supply Arrangement · canonical program
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: C4ISR Supply Arrangement · canonical program
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: C4ISR Supply Arrangement · canonical program
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: C4ISR Supply Arrangement · canonical program
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: C4ISR Supply Arrangement · canonical program
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: C4ISR Supply Arrangement · canonical program
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: C4ISR Supply Arrangement · canonical program
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: C4ISR Supply Arrangement · canonical program
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: C4ISR Supply Arrangement · canonical program
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
Supports: C4ISR Supply Arrangement · canonical program
The listed total is CAD 0.00 and instrument type is Supply Arrangement.
Supports: C4ISR Supply Arrangement · canonical program
CanadaBuys lists MLVX Technologies Inc., operating as Metaspectral, on C4ISR Supply Arrangement W7701-176500/009/MTB, awarded July 10, 2023, expiring March 31, 2033, with amendment date August 6, 2026.
The May 11, 2026 French PacifiCan backgrounder explicitly identifies MLVX Technologies as doing business as Metaspectral in Vancouver and allocates $2,554,685 for commercialization of its AI-powered recycling imaging systems, specialized sensors and hardware, and skilled hiring. These are funded project objectives, not a verified count of installed sorting lines or jobs already created.
Supports: Profile · canadian footprint
The May 11, 2026 French PacifiCan backgrounder explicitly identifies MLVX Technologies as doing business as Metaspectral in Vancouver and allocates $2,554,685 for commercialization of its AI-powered recycling imaging systems, specialized sensors and hardware, and skilled hiring. These are funded project objectives, not a verified count of installed sorting lines or jobs already created.
Supports: Clarity Recover Industrial Material Sorting · maturity
The May 11, 2026 French PacifiCan backgrounder explicitly identifies MLVX Technologies as doing business as Metaspectral in Vancouver and allocates $2,554,685 for commercialization of its AI-powered recycling imaging systems, specialized sensors and hardware, and skilled hiring. These are funded project objectives, not a verified count of installed sorting lines or jobs already created.
The wheel requires Python 3.10 or newer and a service token; it is provisioned to specific customers on request, outside the standard platform package.
Supports: Profile · commercial status
The wheel requires Python 3.10 or newer and a service token; it is provisioned to specific customers on request, outside the standard platform package.
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
The wheel requires Python 3.10 or newer and a service token; it is provisioned to specific customers on request, outside the standard platform package.
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
Supports: Profile · operating context
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
The wheel requires Python 3.10 or newer and a service token; it is provisioned to specific customers on request, outside the standard platform package.
The wheel requires Python 3.10 or newer and a service token; it is provisioned to specific customers on request, outside the standard platform package.
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
Supports: Profile · commercial status
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
Supports: Clarity Spectral Intelligence Platform · core features
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
Metaspectral documents fusion_sdk for Python 3.10 or newer, distributed as a wheel to specific customers on request and excluded from the standard platform package. It uses a service token and supports imagery upload, labels, dataset and model artifact downloads, and reading inference results. Availability is customer-provisioned rather than a public package download.
The company reports stronger object-level NAUC than the best of MF, ACE, OSP and CEM in 9 of 12 comparisons; wins fall from 4/4 to 2/4 for the largest acquisition/elevation change.
Supports: Profile · profileData.portfolioSummary
Metaspectral evaluates a single-reference-spectrum CNN trained with synthetic signatures on MUUFL Gulfport airborne imagery, using four cloth target classes across three cross-flight scene pairs.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Profile · editorial profile version
Metaspectral has sufficient mapped public evidence for private reviewer consideration of the shared editorial profile template.
True North Map derives this first-conversation question from the documented Metaspectral capability, current evidence and the decision gap that remains.
Metaspectral publishes technical demonstrations and a Tanager workflow, but a buyer still needs configuration-specific performance, validation data, deployment boundaries and security architecture.
Supports: Profile · operating context
Metaspectral converts hyperspectral and geospatial data into material classification, anomaly detection and other reviewable intelligence. Its software sits between sensor data and analyst decisions for Earth observation, industrial inspection, environmental monitoring and defence-related evaluation workflows.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Clarity Spectral Intelligence Platform · name
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Clarity Spectral Intelligence Platform · capability type
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Clarity Spectral Intelligence Platform · core features
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Clarity Spectral Intelligence Platform → Edge Data Processing
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Clarity Spectral Intelligence Platform → Edge Data Processing
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Clarity Spectral Intelligence Platform → Edge Data Processing
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Supports: Clarity Spectral Intelligence Platform → Edge Data Processing
Metaspectral separates Clarity Recover industrial sorting, Clarity Geo Earth-observation analysis and Clarity Plume emissions monitoring. It describes low-latency processing and deployment on premises, in a private cloud or in a public cloud; this is an offered architecture, not evidence of a security accreditation.
Metaspectral supports 2026-07-15 as the material date used for this dossier activity note.
Supports: Profile · current activity
On July 15, 2026, Metaspectral announced a Planet partnership and demonstration environment that applies its Clarity platform to Tanager hyperspectral imagery. The workflow is presented as converting spectral observations into explainable, reviewable intelligence for monitoring and other high-consequence decisions.
Supports: Company-announced hyperspectral data partnership relationship
Metaspectral announced a partnership to analyze Planet Tanager hyperspectral data through Clarity, connecting spectral observation to reviewable analysis and evidence.
Supports: Company-announced hyperspectral data partnership relationship
Metaspectral announced a partnership to analyze Planet Tanager hyperspectral data through Clarity, connecting spectral observation to reviewable analysis and evidence.
Supports: Company-announced hyperspectral data partnership relationship
Metaspectral announced a partnership to analyze Planet Tanager hyperspectral data through Clarity, connecting spectral observation to reviewable analysis and evidence.
Supports: Company-announced hyperspectral data partnership relationship
The announcement includes a quote attributed to Planet strategic-partnerships director Linds Panther.
Supports: Company-announced hyperspectral data partnership relationship
Metaspectral announced a partnership to analyze Planet Tanager hyperspectral data through Clarity, connecting spectral observation to reviewable analysis and evidence.
Supports: Company-announced hyperspectral data partnership relationship
The announcement includes a quote attributed to Planet strategic-partnerships director Linds Panther.
Supports: Company-announced hyperspectral data partnership relationship
The announcement includes a quote attributed to Planet strategic-partnerships director Linds Panther.
Supports: Company-announced hyperspectral data partnership relationship
The announcement includes a quote attributed to Planet strategic-partnerships director Linds Panther.
It lists global headquarters as 201-228 E Georgia St, Vancouver, BC V6A 1Z6 and describes specialist staff spanning deep learning, spectral imaging, FPGA architecture and software.
Supports: Profile · description
The cited official material supports Metaspectral's Canadian commercial identity and the bounded hyperspectral role described in this candidate.
Supports: Profile · description
The current company leadership page identifies Francis Doumet as Co-Founder & CEO and Leigh Martin-Boyd as Director, Government Business Development & Programs.
Supports: Profile · profileData.operatingModel
The current company leadership page identifies Francis Doumet as Co-Founder & CEO and Leigh Martin-Boyd as Director, Government Business Development & Programs.
Supports: Profile · profileData.operatingModel
It lists global headquarters as 201-228 E Georgia St, Vancouver, BC V6A 1Z6 and describes specialist staff spanning deep learning, spectral imaging, FPGA architecture and software.
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
Supports: Profile · disclosed financing summary
ECCC identifies Vancouver's MLVX Technologies, Inc. (DBA Metaspectral) for $799,679 Phase 2 support under its plastic-film and flexible-packaging challenge.
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
ECCC identifies Vancouver's MLVX Technologies, Inc. (DBA Metaspectral) for $799,679 Phase 2 support under its plastic-film and flexible-packaging challenge.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
ECCC identifies Vancouver's MLVX Technologies, Inc. (DBA Metaspectral) for $799,679 Phase 2 support under its plastic-film and flexible-packaging challenge.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
ECCC identifies Vancouver's MLVX Technologies, Inc. (DBA Metaspectral) for $799,679 Phase 2 support under its plastic-film and flexible-packaging challenge.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
ECCC identifies Vancouver's MLVX Technologies, Inc. (DBA Metaspectral) for $799,679 Phase 2 support under its plastic-film and flexible-packaging challenge.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
The government says Phase 1 demonstrated a cost-effective and accurate sorting system; Phase 2 is to work toward an operationally ready prototype combining AI, hyperspectral imagery and air ejection.
Supports: Canadian Plastics Innovation Challenge Phase 2 grant funding event
ECCC identifies Vancouver's MLVX Technologies, Inc. (DBA Metaspectral) for $799,679 Phase 2 support under its plastic-film and flexible-packaging challenge.
CSA contribution 25AO4MLVX provides C$249,995 for September 18, 2025–September 30, 2027 to develop satellite-based AI detection and monitoring of invasive leafy spurge in Canada.
Supports: CSA space research contribution funding event
CSA contribution 25AO4MLVX provides C$249,995 for September 18, 2025–September 30, 2027 to develop satellite-based AI detection and monitoring of invasive leafy spurge in Canada.
Supports: CSA space research contribution funding event
CSA contribution 25AO4MLVX provides C$249,995 for September 18, 2025–September 30, 2027 to develop satellite-based AI detection and monitoring of invasive leafy spurge in Canada.
Supports: CSA space research contribution funding event
CSA contribution 25AO4MLVX provides C$249,995 for September 18, 2025–September 30, 2027 to develop satellite-based AI detection and monitoring of invasive leafy spurge in Canada.
Supports: CSA space research contribution funding event
CSA contribution 25AO4MLVX provides C$249,995 for September 18, 2025–September 30, 2027 to develop satellite-based AI detection and monitoring of invasive leafy spurge in Canada.
Supports: CSA space research contribution funding event
CSA contribution 25AO4MLVX provides C$249,995 for September 18, 2025–September 30, 2027 to develop satellite-based AI detection and monitoring of invasive leafy spurge in Canada.
The official product or service material supports the named hyperspectral capability, its principal features and the applications summarized for reviewer consideration.
The official product or service material supports the named hyperspectral capability, its principal features and the applications summarized for reviewer consideration.
Supports: Clarity Spectral Intelligence Platform → Sovereign defence capability areas
The official product or service material supports the named hyperspectral capability, its principal features and the applications summarized for reviewer consideration.
Clarity's ArcGIS Pro add-in synchronizes hyperspectral imagery, submits model inference and downloads GeoTIFF results. The documentation says the former ArcGIS Marketplace listing is unavailable and directs users to support for the installer, supported ArcGIS version and connection URL. Available model versions must be published, accessible to the project and match the raster's band count.
The previous ArcGIS Marketplace listing is unavailable; the current installer, supported ArcGIS version and connection URL are support-assisted.
Supports: Profile · commercial status
Clarity's ArcGIS Pro add-in synchronizes hyperspectral imagery, submits model inference and downloads GeoTIFF results. The documentation says the former ArcGIS Marketplace listing is unavailable and directs users to support for the installer, supported ArcGIS version and connection URL. Available model versions must be published, accessible to the project and match the raster's band count.
Clarity's ArcGIS Pro add-in synchronizes hyperspectral imagery, submits model inference and downloads GeoTIFF results. The documentation says the former ArcGIS Marketplace listing is unavailable and directs users to support for the installer, supported ArcGIS version and connection URL. Available model versions must be published, accessible to the project and match the raster's band count.
Clarity's ArcGIS Pro add-in synchronizes hyperspectral imagery, submits model inference and downloads GeoTIFF results. The documentation says the former ArcGIS Marketplace listing is unavailable and directs users to support for the installer, supported ArcGIS version and connection URL. Available model versions must be published, accessible to the project and match the raster's band count.
Clarity's ArcGIS Pro add-in synchronizes hyperspectral imagery, submits model inference and downloads GeoTIFF results. The documentation says the former ArcGIS Marketplace listing is unavailable and directs users to support for the installer, supported ArcGIS version and connection URL. Available model versions must be published, accessible to the project and match the raster's band count.
Supports: Clarity Spectral Intelligence Platform · core features
Clarity's ArcGIS Pro add-in synchronizes hyperspectral imagery, submits model inference and downloads GeoTIFF results. The documentation says the former ArcGIS Marketplace listing is unavailable and directs users to support for the installer, supported ArcGIS version and connection URL. Available model versions must be published, accessible to the project and match the raster's band count.
CSA contribution agreement 25AO4MLVX awards Metaspectral, MLVX $249,995 for September 18, 2025 through September 30, 2027. The project aims to develop an AI platform using high-resolution satellite imagery to detect and monitor invasive leafy spurge in Canada, mapping populations and change. It is a research contribution, not evidence of an operationally accepted government surveillance service.
Supports: Profile · canadian footprint
CSA contribution agreement 25AO4MLVX awards Metaspectral, MLVX $249,995 for September 18, 2025 through September 30, 2027. The project aims to develop an AI platform using high-resolution satellite imagery to detect and monitor invasive leafy spurge in Canada, mapping populations and change. It is a research contribution, not evidence of an operationally accepted government surveillance service.
Metaspectral publishes admin@metaspectral.com as a public organization contact.
Supports: Profile · profileData.publicContact
The cited official source supports the Canadian location and public contact route included in Metaspectral's profile.
Supports: Profile · canadian footprint
Headquartered in Vancouver, British Columbia, Metaspectral develops spectral-intelligence software and conducts Canadian research, product development and customer evaluation activity from its West Coast operating base.
Metaspectral says it completed a $4.7 million seed round involving SOMA Capital, Acequia Capital, the Government of Canada and angel investors Jude Gomila and Alan Rutledge.
Metaspectral says it completed a $4.7 million seed round involving SOMA Capital, Acequia Capital, the Government of Canada and angel investors Jude Gomila and Alan Rutledge.
Metaspectral says it completed a $4.7 million seed round involving SOMA Capital, Acequia Capital, the Government of Canada and angel investors Jude Gomila and Alan Rutledge.
Metaspectral says it completed a $4.7 million seed round involving SOMA Capital, Acequia Capital, the Government of Canada and angel investors Jude Gomila and Alan Rutledge.
Metaspectral says it completed a $4.7 million seed round involving SOMA Capital, Acequia Capital, the Government of Canada and angel investors Jude Gomila and Alan Rutledge.
Metaspectral says it completed a $4.7 million seed round involving SOMA Capital, Acequia Capital, the Government of Canada and angel investors Jude Gomila and Alan Rutledge.
Private-cloud or on-premises deployment is offered for customer environment boundaries.
Supports: Profile · defence posture
Metaspectral offers mission-scoped spectral analysis for concealed materials and mixed or weak anomalies, with anomaly maps or detection layers, spectral evidence, confidence and analyst summaries.
ECCC records a $150,000 grant to MLVX Technologies Inc., agreement GCXE24E081, with start date March 22, 2024.
Supports: ECCC INSPIRE Phase 1 grant funding event
ECCC records a $150,000 grant to MLVX Technologies Inc., agreement GCXE24E081, with start date March 22, 2024.
Supports: ECCC INSPIRE Phase 1 grant funding event
The described project is the plastic-film and flexible-packaging challenge's Integrated Novel Sorting Platform for Increased Recycling Efficacy (INSPIRE).
Supports: ECCC INSPIRE Phase 1 grant funding event
The described project is the plastic-film and flexible-packaging challenge's Integrated Novel Sorting Platform for Increased Recycling Efficacy (INSPIRE).
Supports: ECCC INSPIRE Phase 1 grant funding event
ECCC records a $150,000 grant to MLVX Technologies Inc., agreement GCXE24E081, with start date March 22, 2024.
Supports: ECCC INSPIRE Phase 1 grant funding event
The described project is the plastic-film and flexible-packaging challenge's Integrated Novel Sorting Platform for Increased Recycling Efficacy (INSPIRE).
Supports: ECCC INSPIRE Phase 1 grant funding event
The described project is the plastic-film and flexible-packaging challenge's Integrated Novel Sorting Platform for Increased Recycling Efficacy (INSPIRE).
Supports: ECCC INSPIRE Phase 1 grant funding event
ECCC records a $150,000 grant to MLVX Technologies Inc., agreement GCXE24E081, with start date March 22, 2024.
Supports: ECCC INSPIRE Phase 1 grant funding event
ECCC records a $150,000 grant to MLVX Technologies Inc., agreement GCXE24E081, with start date March 22, 2024.
Supports: ECCC INSPIRE Phase 1 grant funding event
ECCC records a $150,000 grant to MLVX Technologies Inc., agreement GCXE24E081, with start date March 22, 2024.
Supports: ECCC INSPIRE Phase 1 grant funding event
The described project is the plastic-film and flexible-packaging challenge's Integrated Novel Sorting Platform for Increased Recycling Efficacy (INSPIRE).
The BC recipient list assigns Metaspectral $307,533 to develop computer vision, AI and robotics for consumer-waste sorting and better post-consumer recycled plastic quality.
Supports: CleanBC Plastics Action Fund award funding event
The BC recipient list assigns Metaspectral $307,533 to develop computer vision, AI and robotics for consumer-waste sorting and better post-consumer recycled plastic quality.
Supports: CleanBC Plastics Action Fund award funding event
The BC recipient list assigns Metaspectral $307,533 to develop computer vision, AI and robotics for consumer-waste sorting and better post-consumer recycled plastic quality.
Supports: CleanBC Plastics Action Fund award funding event
The BC recipient list assigns Metaspectral $307,533 to develop computer vision, AI and robotics for consumer-waste sorting and better post-consumer recycled plastic quality.
Supports: CleanBC Plastics Action Fund award funding event
The BC recipient list assigns Metaspectral $307,533 to develop computer vision, AI and robotics for consumer-waste sorting and better post-consumer recycled plastic quality.
Supports: CleanBC Plastics Action Fund award funding event
The BC recipient list assigns Metaspectral $307,533 to develop computer vision, AI and robotics for consumer-waste sorting and better post-consumer recycled plastic quality.
PacifiCan records a $2,554,685 contribution agreement PC0011868 with MLVX Technologies Inc. in Vancouver, running March 18, 2026 through December 31, 2029, to accelerate adoption of AI-powered waste sorting systems in BC. This is the agreement value, not proof of cash received, equity valuation or completed deployment.
Metaspectral presents partner routes for satellite/airborne/drone/sensor data providers, analysis/domain service partners and system/OEM integrators, with scoped customer-data evaluations leading to reports, co-sell offers, APIs or managed services.
BC announces $419,226 program funding for Metaspectral to develop and install automated separation of homopolymer HDPE milk containers from copolymer HDPE containers.
Supports: CleanBC Plastics Action Fund award funding event
BC announces $419,226 program funding for Metaspectral to develop and install automated separation of homopolymer HDPE milk containers from copolymer HDPE containers.
Supports: CleanBC Plastics Action Fund award funding event
The stated aim is greater than 90% sorting accuracy; it is a project target, not a reported achieved result.
Supports: CleanBC Plastics Action Fund award funding event
The stated aim is greater than 90% sorting accuracy; it is a project target, not a reported achieved result.
Supports: CleanBC Plastics Action Fund award funding event
BC announces $419,226 program funding for Metaspectral to develop and install automated separation of homopolymer HDPE milk containers from copolymer HDPE containers.
Supports: CleanBC Plastics Action Fund award funding event
The stated aim is greater than 90% sorting accuracy; it is a project target, not a reported achieved result.
Supports: CleanBC Plastics Action Fund award funding event
BC announces $419,226 program funding for Metaspectral to develop and install automated separation of homopolymer HDPE milk containers from copolymer HDPE containers.
Supports: CleanBC Plastics Action Fund award funding event
The stated aim is greater than 90% sorting accuracy; it is a project target, not a reported achieved result.
Supports: CleanBC Plastics Action Fund award funding event
BC announces $419,226 program funding for Metaspectral to develop and install automated separation of homopolymer HDPE milk containers from copolymer HDPE containers.
Supports: CleanBC Plastics Action Fund award funding event
The stated aim is greater than 90% sorting accuracy; it is a project target, not a reported achieved result.
Supports: CleanBC Plastics Action Fund award funding event
BC announces $419,226 program funding for Metaspectral to develop and install automated separation of homopolymer HDPE milk containers from copolymer HDPE containers.
PacifiCan records a $2,554,685 contribution to MLVX Technologies Inc. under Regional Economic Growth through Innovation, agreement PC0011868, dated March 18, 2026 through December 31, 2029.
Supports: Regional Economic Growth through Innovation contribution funding event
PacifiCan records a $2,554,685 contribution to MLVX Technologies Inc. under Regional Economic Growth through Innovation, agreement PC0011868, dated March 18, 2026 through December 31, 2029.
Supports: Regional Economic Growth through Innovation contribution funding event
PacifiCan records a $2,554,685 contribution to MLVX Technologies Inc. under Regional Economic Growth through Innovation, agreement PC0011868, dated March 18, 2026 through December 31, 2029.
Supports: Regional Economic Growth through Innovation contribution funding event
PacifiCan records a $2,554,685 contribution to MLVX Technologies Inc. under Regional Economic Growth through Innovation, agreement PC0011868, dated March 18, 2026 through December 31, 2029.
Supports: Regional Economic Growth through Innovation contribution funding event
PacifiCan records a $2,554,685 contribution to MLVX Technologies Inc. under Regional Economic Growth through Innovation, agreement PC0011868, dated March 18, 2026 through December 31, 2029.
Supports: Regional Economic Growth through Innovation contribution funding event
PacifiCan records a $2,554,685 contribution to MLVX Technologies Inc. under Regional Economic Growth through Innovation, agreement PC0011868, dated March 18, 2026 through December 31, 2029.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Supports: Clarity Plume Emissions Analysis · core features
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Supports: Clarity Plume Emissions Analysis · slug
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Supports: Clarity Plume Emissions Analysis · core features
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Supports: Clarity Plume Emissions Analysis · core features
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Supports: Clarity Plume Emissions Analysis · name
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
Supports: Clarity Plume Emissions Analysis · capability type
Clarity Plume is offered for detecting and reviewing spectral gas-plume signals with georeferenced overlays, evidence, confidence and rate quantification where supported. Metaspectral scopes satellite, airborne, drone, fixed-monitoring or customer-provided sources around the gas, geography, cadence and budget. The output is a reviewable monitoring package; it is not a universal continuous-detection guarantee.
National Defence’s April 2024 Our North, Strong and Free backgrounder identifies northern sovereignty, improved surveillance of Arctic and northern approaches, and faster sharing of threat information as policy objectives. This establishes broad northern sensing context, not a requirement for hyperspectral equipment, a supplier selection or a current procurement opportunity.
Reviewer synthesis of the public end state in the cited material: Event partners should be able to prepare for, detect and respond to cyber incidents through integrated threat intelligence, technical support, exercises and operational coordination before and during major events.
High-profile events and their host organizations create concentrated cyber-risk and require coordinated planning, monitoring, incident response, exercises and secure information sharing across federal, provincial, municipal and private partners.
Supports: Clarity Spectral Intelligence Platform → Sovereign defence capability areas
Reviewer synthesis of the public end state: Canada can build, sustain or control priority aerospace, ammunition, digital, in-service support, sensor, space, specialized manufacturing, training and uncrewed capabilities through domestic strength, trusted partnerships and sovereign access.
Supports: Clarity Spectral Intelligence Platform → Sovereign defence capability areas
Canada needs secure strategic autonomy and reliable access to capabilities that are critical to defending its sovereignty and meeting allied commitments, while reducing exposure to foreign supply-chain and intellectual-property dependencies.
It states customers can run Fusion at the edge through Armada's rugged mobile data centre Commander Edge/Galleon.
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