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.
Technical detail
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
Clarity
Hyperspectral AI
GeoAI
Python SDK
ArcGIS Pro
Use & integration
Recorded applications
Earth-observation analysis
Industrial material classification
Environmental and emissions assessment
These describe the reviewed application scope, not confirmed deployments, released requirements or procurement eligibility.
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.
Integration and verification
Readiness
A technology readiness level is not established by the reviewed public sources.
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 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.
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.
These records support this capability and its published Mission area and Defence need connections. A source count is not a count of independent confirmations.
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: Capability · maturity
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: Capability · defence applications
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: Capability · 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.
Supports: Capability · technical tags
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: Capability · technicaldomainslugs
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: Capability · defence applications
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: Capability · 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.
Supports: Capability · technology readiness level
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: Capability · technicaldomainslugs
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: Capability · technical tags
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: Capability · 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.
Supports: Capability · defence applications
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: Capability · summary
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: Mission area · 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: Mission area · 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: Mission area · 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: Mission area · 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 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: Capability · 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.
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: Capability · summary
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.
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: Capability · 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.
The official product or service material supports the named hyperspectral capability, its principal features and the applications summarized for reviewer consideration.
Supports: Defence need · 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.
Public sources cited · Facts and assessments kept separate · Human review
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.
This is a reviewed public-source assessment. It is not procurement eligibility, endorsement, customer interest, or classified demand.
Supports: Capability · technical tags
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: Mission area · Arctic Domain Awareness
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: Mission area · Arctic Domain Awareness
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: Mission area · Arctic Domain Awareness
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: Mission area · Arctic Domain Awareness
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: Capability · 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.
Supports: Capability · technical tags
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: Defence need · Major-event and critical-infrastructure cyber defence
The official product or service material supports the named hyperspectral capability, its principal features and the applications summarized for reviewer consideration.
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 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.
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.
Supports: Defence need · 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: Defence need · 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.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
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.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
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.
