Chaac Technologies is a Montréal software company combining geospatial AI, digital twins and immersive training. Its aerial-data platform converts imagery into geographic layers and configurable deep-learning analyses. SHIELDS expands that workflow to multiple data streams, detection and geolocation, with REST/CoT exchange and centralized or near-sensor computing. Auralis is a separately marketed passive optical drone-detection system.
The portfolio also includes digital-twin inspection, naval navigation simulations and workplace VR training delivered through catalogues, custom projects and facilitated sessions. Government evidence includes a Royal Canadian Navy classroom trial and innovation-specific ISC access routes; partner reporting documents robotic integration with InDro and geospatial work with the Centre de géomatique du Québec. Performance, deployment and procurement status differ across those configurations.
Operating context
Configuration matters more than the product name. SHIELDS’s multi-source REST/CoT architecture and near-sensor computing are current supplier descriptions; ISC T12-022628 remains available for testing. The 84% Gagetown figure lacks a disclosed dataset, denominator and false-alarm analysis, while InDro’s separate Area X.O demonstration used printed replicas.
DND documents SkyMesh participation in a counter-drone sandbox, but no inspected source makes it identical to Auralis. ISC’s PTC list covers naval simulations and digital-twin inspection; its older additional-sales list still contains a similarly named digital-twin entry. Exact proposal/configuration identity and the governing purchase route need confirmation. No reviewed source establishes a general operating/security approval, independent benchmark across environments or company-wide data/IP terms.
Canadian footprint
The current business contact and federal registry both place Chaac at suite 313, 33 rue Prince, Montréal, Québec H3C 2M7. Older procurement records use 4710 Saint-Ambroise and a historical 5–9 employee band; those are not current premises or staffing evidence. The public record does not quantify present headcount or establish a certified production/test facility.
Montréal, Québec is the published regional context for Chaac Technologies. It does not imply a city or street-level location.
Chaac offers a Canadian software route from imagery and geospatial data to operator awareness, asset inspection and repeatable training. Its strongest engagement evidence is configuration-specific: buyer-backed naval experimentation, government innovation access and counterpart-described robotic integration. A partner can use that base to scope an evaluation or training project, but should resolve the exact product and procurement identifier, test evidence, deployment constraints and data rights before relying on performance or delivery at scale.
Interpretation of the public record. Not qualification, endorsement or evidence of buyer interest.
ISC-listed platform for analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding and customizing deep-learning models. TS9-020278 is listed for additional sales through December 8, 2028. This record preserves the specific government-listed innovation; it is not treated as identical to the broader SHIELDS architecture or every later configuration.
Evidence of maturity
ISC-listed tested innovation; no independent task-specific performance or blanket deployment qualification is supplied.
Commercial availability
TS9-020278 additional-sales eligibility through December 8, 2028, subject to programme terms and buyer requirements.
Core features
AI analysis of georeferenced imagery into interactive geographic layers
User interface for adding and customizing deep-learning models
Recorded applications
Configured aerial-image analysis and geospatial visualization
passive optical drone-detection and tracking system
Read technical summary
Auralis is Chaac’s passive optical drone-detection offer. Available cameras and edge machine learning at portable stations support detection, tracking and geolocation across multiple observation points, with CoT/ATAK information exchange. It complements other sensors. The reviewed product page supplies no measured range, accuracy or false-alarm envelope; DND’s separate SkyMesh sandbox participation is not treated as validation of the current Auralis configuration.
Evidence of maturity
Current vendor offer; no inspected source proves independent Auralis performance or identity with the SkyMesh sandbox system.
Commercial availability
Supplier demonstration and tailored configuration; hardware, deployment and acceptance terms require agreement.
Core features
Available cameras, edge machine learning and portable observation stations
Collaborative tracking/geolocation with CoT/ATAK output
Recorded applications
Airspace and infrastructure awareness as a complementary sensor
3D geospatial inspection and collaborative visualization software
Read technical summary
Chaac creates shared 3D environments from drone captures and geospatial information for remote asset review, spatial annotations, historical records, planning and training. The current inspection offer extends the company’s crisis-environment digital-twin family. ISC’s PTC list explicitly names the inspection platform under Digital Twins Based on Real-Time 3D Representation Using Drones, with eligibility through April 24, 2029. The PTC row supplies only call TS7; its exact mapping to the older full proposal T7-018247 remains unconfirmed, so buyers should confirm the applicable route.
Evidence of maturity
PTC-listed market-ready inspection innovation; specific accuracy, integration, security and acceptance requirements remain configuration-dependent.
Commercial availability
PTC source list expires April 24, 2029; confirm exact proposal identity and route because an older additional-sales digital-twin entry remains public.
Core features
Drone capture and 3D reconstruction integrated with geospatial data
Shared inspection annotations, records and collaborative VR environments
Recorded applications
Remote infrastructure and industrial asset inspection
Crisis-environment decision support and familiarization
Chaac’s naval VR catalogue covers navigation, port approach, collision regulations, formation and other maritime learning scenarios. Current modules use Meta Quest 3 and English/French instruction, with single-user, group and multiplayer formats. The RCN independently reported a classroom development/test partnership in 2021. ISC’s T5 naval simulation PTC entry runs through March 14, 2028; that is separate from the T7-018166 photorealistic drone-captured military training entry on the additional-sales list.
Evidence of maturity
Buyer-confirmed 2021 development/test partnership and current PTC listing; sources do not establish fleet-wide deployment or universal training certification.
Commercial availability
Supplier demos/custom work and the named T5 PTC route through March 14, 2028. Separate T7-018166 additional-sales eligibility is listed through September 13, 2027.
Core features
Ship Navigation: group activity, seven levels, 30–45 minutes
Port Approach: historical Vancouver AIS, single user, 15–30 minutes
multi-source geospatial AI and information distribution system
Read technical summary
Geospatial intelligence software that ingests imagery, video, sensors and other data, then detects, classifies, geolocates and distributes results. REST and CoT interfaces support command-and-control exchange, with centralized or near-sensor computing. ISC separately lists SHIELDS T12-022628 as available for testing. Chaac’s 2025 Gagetown report claims 84% mine detection, without the independent dataset and false-alarm evidence needed to infer general performance or clearance safety.
Evidence of maturity
Marketed system with a vendor-reported Gagetown demonstration and a separate partner replica trial; current T12-022628 directory status is available for testing.
Commercial availability
Supplier configuration engagement and ISC T12-022628 testing access; no universal performance, mine-clearance or purchase guarantee.
Core features
Multi-source ingestion, detection, classification and geolocation
REST/CoT exchange with centralized or near-sensor computing
Partner-demonstrated drone imagery to mapped ground-inspection workflow
Recorded applications
Configured defence, emergency-response and environmental monitoring
Chaac offers workplace VR modules for fire awareness, lockout/tagout, first aid, confined spaces, forklift risks and other skills, plus tailored development. FireGuard VR uses Meta Quest 3 in English and French with single-user scenarios. Immersive SHARP adds an on-site service with headsets, setup, facilitation and debrief. These are training products and delivery services; the public catalogue does not establish a regulator-issued qualification or measured learning outcome for every module.
Evidence of maturity
Current catalogue and facilitated-service offer; vendor session-capacity claims are not a guaranteed delivery or independently measured learning result.
Commercial availability
Contact Chaac for demos, selected modules, custom development or facilitated events; Immersive SHARP describes English/French service and 10–15-minute participant turns.
Core features
Catalogue and tailored VR learning scenarios
FireGuard VR: Meta Quest 3, English/French, single user, 30 minutes, three levels
Immersive SHARP: on-site equipment, setup, facilitated turns and debrief
Recorded applications
Workplace hazard awareness and skills practice
Public record
Commercial context
Supplier-led demonstrations and tailored projects are offered alongside catalogued VR modules. ISC lists separate additional-sales, commercialization and available-for-testing innovations; eligibility and purchases depend on the exact configuration and buyer requirements.
Financing and disclosed activity
Disclosed support includes C$100,000 of SIJ Fonds Impact assistance reported by CEIM in September 2022, a C$146,333 Québec Programme Innovation grant commitment recorded in June 2022, and a C$27,000 CanExport contribution for May 2024–March 2025. The sources do not establish a funding round or current cash balance.
Historical procurement records include DND research contract W7714-207249/002/SI at C$1,148,971 and ISC TS7 contract CW2374387 at C$1,415,566.40 after a C$58,650 January 2025 amendment. These are disclosed contract totals, not annual revenue; the amendment must not be added to the total again.
For FY2024–25, Public Accounts separately reports C$200,000 to Chaac under NRC IRAP contributions to firms and C$967,313 under Department of Industry scientific and research services. These expenditure aggregates include cash payments and accrued charges. They are not assigned to specific contracts or added to award/contribution ceilings.
Ownership and entity scope
Active federal corporation CHAAC TECHNOLOGIES INC. (448725-7), incorporated July 15, 2008. The significant-control record confirmed July 15, 2026 identifies Guillaume Nepveu holding more than 75% of shares directly and individually. The exact percentage and full shareholder composition are not disclosed.
Ecosystem relationships
Applied research collaborator
Centre de géomatique du Québec
CGQ identifies Chaac and ARA Robotique as clients for automated drone-data processing, object and material classification and stockpile-volume management in mining/construction. The source names NSERC and CRIAQ project support without disclosing a Chaac-specific funding allocation.
InDro’s September 2025 account identifies Chaac’s geospatial AI and InDro’s RTK drone/ground-robot integration in a hazard-inspection project. The Area X.O demonstration used printed replicas; planned DND drone delivery was not reported accepted.
Reviewed connections
Released Defence need · Reviewed connectionEvidence strength: Moderate
AI Georeferenced Aerial Data Platform may help teams working on Sovereign defence capability areas by contributing to autonomous and uncrewed systems, cyber and digital operations, and aerospace operations.
Which SHIELDS model, sensor configuration, dataset and false-alarm results support the proposed task, and who independently evaluated them?
The 84% Gagetown result is vendor-reported and the InDro replica demonstration is a separate event; neither establishes general clearance or detection performance.
02
Which ISC proposal and configuration governs the proposed purchase, particularly the digital-twin transition from additional sales to PTC?
The PTC TS7 digital-twin listing and older T7-018247 additional-sales entry coexist publicly, while programme rules restrict simultaneous use after entry.
03
How does Auralis relate to the tested SkyMesh configuration, and what detection range, false-alarm and environmental evidence accompanies delivery?
The current product and DND sandbox use different names; the reviewed sources do not establish configuration identity or measured Auralis performance.
04
What deployment, hosting, data/model rights and support terms apply to the selected AI, digital-twin or VR configuration?
Supplier demos and catalogue specifications explain use, but public material does not settle customer data ownership, export formats, security approval or contracted support.
Original sources 29 linked records
These records support the organization, its owned capabilities and their reviewed connections. A source count is not a count of independent confirmations.
The additional-sales table still lists T7-018247 real-time drone/crisis digital twins through August 28, 2027, while the PTC list identifies a TS7 digital-twin inspection innovation through April 24, 2029. The PTC page does not give the full proposal ID, so precise configuration identity and transition must be confirmed rather than assuming simultaneous eligibility.
The additional-sales table still lists T7-018247 real-time drone/crisis digital twins through August 28, 2027, while the PTC list identifies a TS7 digital-twin inspection innovation through April 24, 2029. The PTC page does not give the full proposal ID, so precise configuration identity and transition must be confirmed rather than assuming simultaneous eligibility.
Supports: Profile · operating context
The PTC source list names Chaac’s Military Naval Simulations in Virtual and Mixed Reality, T5, expiring March 14, 2028, with photorealistic georeferenced environments and multiplayer collaborative/competitive training. This is distinct from the T7-018166 additional-sales entry.
The additional-sales table still lists T7-018247 real-time drone/crisis digital twins through August 28, 2027, while the PTC list identifies a TS7 digital-twin inspection innovation through April 24, 2029. The PTC page does not give the full proposal ID, so precise configuration identity and transition must be confirmed rather than assuming simultaneous eligibility.
Chaac offers Digital Twin Inspection for remote asset inspection, field preparation and repeatable inspector training through a demo/contact route; the page does not specify dimensional accuracy, format compatibility, offline operation or regulator acceptance.
Chaac offers Digital Twin Inspection for remote asset inspection, field preparation and repeatable inspector training through a demo/contact route; the page does not specify dimensional accuracy, format compatibility, offline operation or regulator acceptance.
DND calls the sandbox system SkyMesh; the current Chaac page calls its optical product Auralis. No inspected source establishes a rename, identical configuration or transfer of the SkyMesh demonstration to Auralis.
Supports: Profile · defence posture
DND identifies Chaac’s SkyMesh among systems demonstrated at the CUAS 2025 Sandbox: passive distributed detection using off-the-shelf sensors and open-source AI with collaborative geolocation and command-and-control integration. The page supplies no Chaac-specific detection results or award.
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Profile · profileData.portfolioSummary
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · summary
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
Public sources cited · Facts and assessments kept separate · Human review
Station-level machine learning can reduce dependence on centralized image processing and supply local track information; a buyer still needs measured network, latency and disconnected-operation limits.
Near-sensor computing and REST/CoT distribution provide a plausible local processing and integration role when communications are constrained; specific offline capability and hardware limits still require evaluation.
Reviewed connections indicate possible relevance based on public evidence. They do not indicate procurement direction, eligibility, endorsement or customer interest.
Supports: Profile · commercial status
PTC permits government-funded contracts for the same or improved version of the tested innovation; security requirements, scope and price remain contract-specific. The rules say entrants cease eligibility for additional-sales testing contracts. The list is not evidence of a new purchase.
The additional-sales table still lists T7-018247 real-time drone/crisis digital twins through August 28, 2027, while the PTC list identifies a TS7 digital-twin inspection innovation through April 24, 2029. The PTC page does not give the full proposal ID, so precise configuration identity and transition must be confirmed rather than assuming simultaneous eligibility.
Supports: Profile · operating context
The additional-sales table still lists T7-018247 real-time drone/crisis digital twins through August 28, 2027, while the PTC list identifies a TS7 digital-twin inspection innovation through April 24, 2029. The PTC page does not give the full proposal ID, so precise configuration identity and transition must be confirmed rather than assuming simultaneous eligibility.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Digital-Twin Inspection and Crisis Environments · summary
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Digital-Twin Inspection and Crisis Environments · technical tags
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Digital-Twin Inspection and Crisis Environments · summary
The additional-sales table still lists T7-018247 real-time drone/crisis digital twins through August 28, 2027, while the PTC list identifies a TS7 digital-twin inspection innovation through April 24, 2029. The PTC page does not give the full proposal ID, so precise configuration identity and transition must be confirmed rather than assuming simultaneous eligibility.
Supports: Digital-Twin Inspection and Crisis Environments · technical tags
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Digital-Twin Inspection and Crisis Environments · commercial availability
The additional-sales table still lists T7-018247 real-time drone/crisis digital twins through August 28, 2027, while the PTC list identifies a TS7 digital-twin inspection innovation through April 24, 2029. The PTC page does not give the full proposal ID, so precise configuration identity and transition must be confirmed rather than assuming simultaneous eligibility.
Supports: Digital-Twin Inspection and Crisis Environments · commercial availability
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Digital-Twin Inspection and Crisis Environments · core features
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Digital-Twin Inspection and Crisis Environments · maturity
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Digital-Twin Inspection and Crisis Environments · technical tags
The PTC source list names Chaac’s Digital Twins Based on Real-Time 3D Representation Using Drones, TS7, expiring April 24, 2029. Its description explicitly connects the Digital Twin Inspection Platform with drone capture, 3D reconstruction, geospatial integration, collaborative VR, inspection records and machine learning.
Supports: Naval Immersive Training · commercial availability
The PTC source list names Chaac’s Military Naval Simulations in Virtual and Mixed Reality, T5, expiring March 14, 2028, with photorealistic georeferenced environments and multiplayer collaborative/competitive training. This is distinct from the T7-018166 additional-sales entry.
Supports: Naval Immersive Training · summary
The PTC source list names Chaac’s Military Naval Simulations in Virtual and Mixed Reality, T5, expiring March 14, 2028, with photorealistic georeferenced environments and multiplayer collaborative/competitive training. This is distinct from the T7-018166 additional-sales entry.
Supports: Naval Immersive Training · maturity
The PTC source list names Chaac’s Military Naval Simulations in Virtual and Mixed Reality, T5, expiring March 14, 2028, with photorealistic georeferenced environments and multiplayer collaborative/competitive training. This is distinct from the T7-018166 additional-sales entry.
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Chaac offers Digital Twin Inspection for remote asset inspection, field preparation and repeatable inspector training through a demo/contact route; the page does not specify dimensional accuracy, format compatibility, offline operation or regulator acceptance.
Supports: Profile · profileData.portfolioSummary
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Chaac offers Digital Twin Inspection for remote asset inspection, field preparation and repeatable inspector training through a demo/contact route; the page does not specify dimensional accuracy, format compatibility, offline operation or regulator acceptance.
Supports: Digital-Twin Inspection and Crisis Environments · capability type
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · name
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · technicaldomainslugs
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · defence applications
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · maturity
Chaac offers Digital Twin Inspection for remote asset inspection, field preparation and repeatable inspector training through a demo/contact route; the page does not specify dimensional accuracy, format compatibility, offline operation or regulator acceptance.
Supports: Digital-Twin Inspection and Crisis Environments · technology readiness level
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · technicaldomainslugs
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · core features
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · summary
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
Supports: Digital-Twin Inspection and Crisis Environments · slug
Digital Twin Inspection follows capture/reconstruction into interactive 3D assets, remote exploration, spatial annotations with notes/images/documents, shared review and historical follow-up.
DND calls the sandbox system SkyMesh; the current Chaac page calls its optical product Auralis. No inspected source establishes a rename, identical configuration or transfer of the SkyMesh demonstration to Auralis.
DND calls the sandbox system SkyMesh; the current Chaac page calls its optical product Auralis. No inspected source establishes a rename, identical configuration or transfer of the SkyMesh demonstration to Auralis.
Supports: Profile · operating context
DND calls the sandbox system SkyMesh; the current Chaac page calls its optical product Auralis. No inspected source establishes a rename, identical configuration or transfer of the SkyMesh demonstration to Auralis.
DND calls the sandbox system SkyMesh; the current Chaac page calls its optical product Auralis. No inspected source establishes a rename, identical configuration or transfer of the SkyMesh demonstration to Auralis.
DND calls the sandbox system SkyMesh; the current Chaac page calls its optical product Auralis. No inspected source establishes a rename, identical configuration or transfer of the SkyMesh demonstration to Auralis.
DND calls the sandbox system SkyMesh; the current Chaac page calls its optical product Auralis. No inspected source establishes a rename, identical configuration or transfer of the SkyMesh demonstration to Auralis.
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · slug
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · technicaldomainslugs
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · name
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · technical tags
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · technology readiness level
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · core features
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · capability type
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · defence applications
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Workplace VR Training and Facilitated Sessions · technical tags
Chaac offers immersive modules for fire safety, lockout/tagout, first aid, confined spaces, forklift inspection, risk awareness, conversational encounters and sales/marketing practice. The catalogue does not itself certify learner competence or compliance.
Supports: Profile · operating context
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
Supports: Profile · operating context
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for SHIELDS.
Supports: Profile · defence posture
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
Supports: Profile · operating context
Chaac claims an 84 percent detection success rate for PFM-type mines at a Gagetown demonstration. The article provides no independent results table, test population or false-alarm rate; it cannot support a universal detection probability or a cleared-area safety claim.
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
Supports: SHIELDS · summary
Chaac claims an 84 percent detection success rate for PFM-type mines at a Gagetown demonstration. The article provides no independent results table, test population or false-alarm rate; it cannot support a universal detection probability or a cleared-area safety claim.
Supports: SHIELDS · summary
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for SHIELDS.
Supports: SHIELDS · summary
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
Supports: SHIELDS · maturity
The company report dated November 17, 2025 states SHIELDS achieved 84% detection success for PFM-type antipersonnel mines at CFB Gagetown. It does not disclose sample count, train/test separation, imaging geometry, false-alarm rate or an independent result table.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Supports: Profile · description
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Supports: Profile · commercial status
Auralis is offered through demonstration and tailored supplier engagement for defence, infrastructure, transport, correctional and temporary-site airspace awareness. Named buyers and accepted deployments are not identified on the product page.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Supports: Auralis Passive Optical Drone Detection · capability type
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Supports: Auralis Passive Optical Drone Detection · core features
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Supports: Auralis Passive Optical Drone Detection · name
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis is offered through demonstration and tailored supplier engagement for defence, infrastructure, transport, correctional and temporary-site airspace awareness. Named buyers and accepted deployments are not identified on the product page.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Supports: Auralis Passive Optical Drone Detection · core features
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Auralis is offered through demonstration and tailored supplier engagement for defence, infrastructure, transport, correctional and temporary-site airspace awareness. Named buyers and accepted deployments are not identified on the product page.
Auralis distributes aircraft tracks through tactical/C2 interfaces including Cursor-on-Target and ATAK; it is offered as a passive optical sensing component complementing radar, RF and acoustic sensors. No effector, detection range, accuracy benchmark or environmental rating is specified.
Supports: Auralis Passive Optical Drone Detection → Edge Data Processing
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Supports: Auralis Passive Optical Drone Detection → Edge Data Processing
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Supports: Auralis Passive Optical Drone Detection → Edge Data Processing
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
Supports: Auralis Passive Optical Drone Detection → Edge Data Processing
Auralis CUAS uses available cameras, local edge machine learning and observations from multiple portable mast-mounted stations to detect, classify, track and estimate positions of small uncrewed aircraft without transmitting RF detection energy.
The Royal Canadian Navy reported on May 6, 2021 that NTDC(P) partnered with Chaac through ISC to develop and test classroom VR for navigation, ship handling and anchoring. Reserve and deployed-fleet uses were possibilities, not confirmed rollouts.
Supports: Profile · defence posture
The Royal Canadian Navy reported on May 6, 2021 that NTDC(P) partnered with Chaac through ISC to develop and test classroom VR for navigation, ship handling and anchoring. Reserve and deployed-fleet uses were possibilities, not confirmed rollouts.
Supports: Profile · description
The Royal Canadian Navy reported on May 6, 2021 that NTDC(P) partnered with Chaac through ISC to develop and test classroom VR for navigation, ship handling and anchoring. Reserve and deployed-fleet uses were possibilities, not confirmed rollouts.
Supports: Naval Immersive Training · maturity
The Royal Canadian Navy reported on May 6, 2021 that NTDC(P) partnered with Chaac through ISC to develop and test classroom VR for navigation, ship handling and anchoring. Reserve and deployed-fleet uses were possibilities, not confirmed rollouts.
Supports: Naval Immersive Training · summary
The Royal Canadian Navy reported on May 6, 2021 that NTDC(P) partnered with Chaac through ISC to develop and test classroom VR for navigation, ship handling and anchoring. Reserve and deployed-fleet uses were possibilities, not confirmed rollouts.
Supports: Naval Immersive Training · defence applications
The Royal Canadian Navy reported on May 6, 2021 that NTDC(P) partnered with Chaac through ISC to develop and test classroom VR for navigation, ship handling and anchoring. Reserve and deployed-fleet uses were possibilities, not confirmed rollouts.
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
Supports: Profile · commercial status
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
Supports: Workplace VR Training and Facilitated Sessions · core features
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
Supports: Workplace VR Training and Facilitated Sessions · summary
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
Supports: Workplace VR Training and Facilitated Sessions · maturity
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
Supports: Workplace VR Training and Facilitated Sessions · defence applications
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
Supports: Workplace VR Training and Facilitated Sessions · commercial availability
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
Supports: Workplace VR Training and Facilitated Sessions · technical tags
SHARP is an on-site facilitated safety-training service: Chaac supplies VR headsets/mobile equipment, setup, access to its catalogue and participation debrief. The company advertises 10–15 minute turns, up to 100 employees per day, and English/French delivery; capacity and learning outcomes depend on the engagement.
The InDro Area X.O demonstration used 3D-printed PFM-1 replicas. Its quoted 80–90% detection figure comes from Chaac; it is neither independent validation of the later 84% Gagetown report nor evidence of clearance safety.
Supports: Profile · description
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
Supports: Profile · operating context
The InDro Area X.O demonstration used 3D-printed PFM-1 replicas. Its quoted 80–90% detection figure comes from Chaac; it is neither independent validation of the later 84% Gagetown report nor evidence of clearance safety.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
The InDro Area X.O demonstration used 3D-printed PFM-1 replicas. Its quoted 80–90% detection figure comes from Chaac; it is neither independent validation of the later 84% Gagetown report nor evidence of clearance safety.
The InDro Area X.O demonstration used 3D-printed PFM-1 replicas. Its quoted 80–90% detection figure comes from Chaac; it is neither independent validation of the later 84% Gagetown report nor evidence of clearance safety.
Supports: Profile · defence posture
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
The InDro Area X.O demonstration used 3D-printed PFM-1 replicas. Its quoted 80–90% detection figure comes from Chaac; it is neither independent validation of the later 84% Gagetown report nor evidence of clearance safety.
Supports: SHIELDS · core features
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
Supports: SHIELDS · maturity
The InDro Area X.O demonstration used 3D-printed PFM-1 replicas. Its quoted 80–90% detection figure comes from Chaac; it is neither independent validation of the later 84% Gagetown report nor evidence of clearance safety.
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
InDro’s September 4, 2025 counterpart account identifies Chaac’s image-processing/geospatial AI and InDro’s robotic hardware integration: RTK drones using ROS 2 and a Sentinel ground robot in a map-to-inspection workflow. Two custom drones were being built for DND delivery, not reported accepted.
The InDro Area X.O demonstration used 3D-printed PFM-1 replicas. Its quoted 80–90% detection figure comes from Chaac; it is neither independent validation of the later 84% Gagetown report nor evidence of clearance safety.
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for AI Georeferenced Aerial Data Platform.
Supports: Profile · description
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: Profile · profileData.portfolioSummary
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: Profile · profileData.currentActivity
The cited current official or durable public record supports the activity, program, partnership, test, contract, or funding context summarized for Chaac Technologies.
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Chaac Technologies's public evidence establishes its current role and offering, but it does not answer every access, configuration, eligibility, maturity or buyer question needed for a first business-development conversation.
True North Map derives this first-conversation question from the documented Chaac Technologies capability, current evidence and the decision gap that remains.
Supports: Profile · commercial status
ISC explains additional sales as a procurement tool for extra units beyond an initial testing contract and testing by other departments; the listing is eligibility, not proof of a new order or qualification of all Chaac products.
Supports: Profile · operating context
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: Profile · executive relevance summary
Source location: executiveRelevanceSummary
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: Profile · current activity
The cited current official or durable public record supports the activity, program, partnership, test, contract, or funding context summarized for Chaac Technologies.
Supports: AI Georeferenced Aerial Data Platform · core features
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · technical tags
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · core features
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · commercial availability
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · core features
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · technical tags
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · technicaldomainslugs
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · technology readiness level
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · name
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · technicaldomainslugs
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · technical tags
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · technical tags
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · technicaldomainslugs
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · defence applications
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · capability type
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · technical tags
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · name
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · defence applications
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · defence applications
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · maturity
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · technology readiness level
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · summary
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for AI Georeferenced Aerial Data Platform.
Supports: AI Georeferenced Aerial Data Platform · commercial availability
ISC explains additional sales as a procurement tool for extra units beyond an initial testing contract and testing by other departments; the listing is eligibility, not proof of a new order or qualification of all Chaac products.
Supports: AI Georeferenced Aerial Data Platform · commercial availability
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · summary
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform · summary
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · maturity
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · capability type
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · core features
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · core features
ISC lists Chaac TS9-020278, an AI platform for georeferenced aerial-data capture, analysis and visualization, as eligible for additional sales until 8 December 2028. Its described functionality includes map layers and user-configurable deep-learning models. Eligibility is a procurement route, not a guaranteed purchase or evidence of mine-clearance performance.
Supports: AI Georeferenced Aerial Data Platform · technicaldomainslugs
ISC lists TS9-020278 as an AI platform analyzing georeferenced aerial images into interactive geographic layers, with an interface for adding/customizing deep-learning models; additional-sales eligibility expires December 8, 2028.
Supports: AI Georeferenced Aerial Data Platform → Sovereign defence capability areas
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for AI Georeferenced Aerial Data Platform.
Supports: Digital-Twin Inspection and Crisis Environments · defence applications
ISC lists T7-018247 as a crisis decision-support innovation reconstructing the affected environment in real-time 3D using drones; additional-sales eligibility expires August 28, 2027.
Supports: Naval Immersive Training · commercial availability
ISC lists T7-018166 as military AI-based photorealistic VR training captured by drones; additional-sales eligibility expires September 13, 2027.
Supports: Naval Immersive Training · summary
ISC lists T7-018166 as military AI-based photorealistic VR training captured by drones; additional-sales eligibility expires September 13, 2027.
Chaac publishes info@chaac.tech, 514-242-3046, contact form, corporate LinkedIn and 313-33 Prince Street, Montréal, Québec H3C 2M7 as company contact routes.
Chaac publishes info@chaac.tech, 514-242-3046, contact form, corporate LinkedIn and 313-33 Prince Street, Montréal, Québec H3C 2M7 as company contact routes.
Chaac publishes info@chaac.tech, 514-242-3046, contact form, corporate LinkedIn and 313-33 Prince Street, Montréal, Québec H3C 2M7 as company contact routes.
Supports: Profile · canadian footprint
Chaac lists its current contact office as 313-33 Prince Street, Montréal H3C 2M7. The page supplies no production-site or laboratory capacity.
Chaac publishes info@chaac.tech, 514-242-3046, contact form, corporate LinkedIn and 313-33 Prince Street, Montréal, Québec H3C 2M7 as company contact routes.
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: Profile · profileData.portfolioSummary
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: Profile · description
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: Profile · operating context
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: Profile · operating context
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: AI Georeferenced Aerial Data Platform · summary
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: AI Georeferenced Aerial Data Platform · summary
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · commercial availability
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS · technicaldomainslugs
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · name
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · technicaldomainslugs
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · technical tags
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · maturity
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · capability type
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · summary
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS · core features
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · defence applications
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · technical tags
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS · technology readiness level
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · defence applications
Chaac markets SHIELDS for defence/security observation, search and rescue, area surveillance, wildfire/environmental monitoring and remote operations; these are offered uses rather than named accepted deployments.
Supports: SHIELDS · technicaldomainslugs
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · name
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · summary
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · technical tags
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · core features
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · technicaldomainslugs
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · technical tags
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · technical tags
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS · summary
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · technology readiness level
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · core features
SHIELDS ingests imagery, video, sensors, geospatial information and external services, then detects, classifies, geolocates and tracks objects or events for map-based decisions.
Supports: SHIELDS · capability type
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · core features
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · core features
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS · commercial availability
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS · defence applications
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS → Edge Data Processing
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS → Edge Data Processing
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS → Edge Data Processing
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS → Edge Data Processing
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS → Edge Data Processing
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS → Edge Data Processing
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
Supports: SHIELDS → Edge Data Processing
The current SHIELDS page specifies REST APIs and CoT for operational-information exchange, with centralized infrastructure or computing closer to sensors. No published API schema, hardware benchmark, latency or security accreditation is supplied.
Supports: SHIELDS → Edge Data Processing
Chaac currently expands SHIELDS as Situational Awareness and Intelligent Data System. It ingests imagery, video, sensors and geospatial data for detection, classification, geolocation and distribution using interfaces including REST and CoT, with centralized or edge deployment. The current broad product definition differs from the mine-specific acronym used in its 2025 announcement.
True North Map classifies the legacy undated product description as operating context rather than a material current development, so the optional Recent Activity field is cleared.
Supports: Profile · operating context
Chaac Technologies currently markets immersive training, SHIELDS geospatial data processing, digital-twin inspection and Auralis passive drone detection as separate offerings. The shared vendor does not make performance or qualification evidence transferable between them.
Supports: Profile · operating context
The cited official source supports Chaac Technologies's Canadian identity, operating role, and core company description used in this candidate dossier.
Supports: Profile · display lead
The current site offers immersive training, custom VR training, military immersive training, intelligent geospatial data, passive optical drone detection and digital-twin inspection.
Supports: Profile · profileData.publicContact
The cited public source supports the website, email, telephone, or address channel captured for reviewer use; no private contact data is included.
Supports: Profile · role descriptor
The current site offers immersive training, custom VR training, military immersive training, intelligent geospatial data, passive optical drone detection and digital-twin inspection.
Supports: Profile · description
The current site offers immersive training, custom VR training, military immersive training, intelligent geospatial data, passive optical drone detection and digital-twin inspection.
The official public contact pathway for Chaac Technologies is https://chaac.tech/.
Supports: Profile · editorial profile version
Chaac Technologies has sufficient mapped public evidence for private reviewer consideration of the shared editorial profile template.
Supports: Profile · dual use posture
The current site offers immersive training, custom VR training, military immersive training, intelligent geospatial data, passive optical drone detection and digital-twin inspection.
Supports: Profile · canadian footprint
The cited durable source supports the Canadian city, province, or exact public address used for Chaac Technologies; the geographic-confidence label records the available precision.
Supports: Profile · description
The cited official source supports Chaac Technologies's Canadian identity, operating role, and core company description used in this candidate dossier.
Supports: Workplace VR Training and Facilitated Sessions · summary
The current site offers immersive training, custom VR training, military immersive training, intelligent geospatial data, passive optical drone detection and digital-twin inspection.
The live ISC directory lists Secured Hazard Identification and Environmental Landmark Detection System (SHIELDS), T12-022628, Chaac Technologies Inc., Montréal, AI theme, Available for testing. The page defines this status as currently unmatched/open for testing, not a completed test or contract award.
Supports: Profile · operating context
The live ISC directory lists Secured Hazard Identification and Environmental Landmark Detection System (SHIELDS), T12-022628, Chaac Technologies Inc., Montréal, AI theme, Available for testing. The page defines this status as currently unmatched/open for testing, not a completed test or contract award.
Supports: SHIELDS · commercial availability
The live ISC directory lists Secured Hazard Identification and Environmental Landmark Detection System (SHIELDS), T12-022628, Chaac Technologies Inc., Montréal, AI theme, Available for testing. The page defines this status as currently unmatched/open for testing, not a completed test or contract award.
Supports: SHIELDS · maturity
The live ISC directory lists Secured Hazard Identification and Environmental Landmark Detection System (SHIELDS), T12-022628, Chaac Technologies Inc., Montréal, AI theme, Available for testing. The page defines this status as currently unmatched/open for testing, not a completed test or contract award.
Supports: SHIELDS · summary
The live ISC directory lists Secured Hazard Identification and Environmental Landmark Detection System (SHIELDS), T12-022628, Chaac Technologies Inc., Montréal, AI theme, Available for testing. The page defines this status as currently unmatched/open for testing, not a completed test or contract award.
NRC disclosure identifies Chaac Technologies Inc., BN854102894, as recipient of CAD27,000 CanExport SME contribution agreement 1024157 for export-market development, May 6, 2024–March 31, 2025. Agreement value is not proof of full disbursement or equity.
CanadaBuys records Chaac CW2374387 under TS7, awarded September 13, 2024, amended January 22, 2025 by CAD58,650, with total CAD1,415,566.40 and end March 31, 2025. Amendment and total are not additive; the notice does not identify the exact named product.
CGQ names ARA Robotique and Chaac as clients of its automated drone-data processing project for mining/construction object identification, inventory and material-classified stockpile volumes. CGQ performed the data processing/analysis work; the page reports no accuracy metric or commercial acceptance.
Supports: Profile · dual use posture
CGQ names ARA Robotique and Chaac as clients of its automated drone-data processing project for mining/construction object identification, inventory and material-classified stockpile volumes. CGQ performed the data processing/analysis work; the page reports no accuracy metric or commercial acceptance.
Supports: applied research collaborator relationship
CGQ attributes project financing to NSERC applied R&D level 2 and CRIAQ PARTENAR-IA ENTREPRISE; no amount or allocation to Chaac is stated.
Supports: applied research collaborator relationship
CGQ names ARA Robotique and Chaac as clients of its automated drone-data processing project for mining/construction object identification, inventory and material-classified stockpile volumes. CGQ performed the data processing/analysis work; the page reports no accuracy metric or commercial acceptance.
Supports: applied research collaborator relationship
CGQ names ARA Robotique and Chaac as clients of its automated drone-data processing project for mining/construction object identification, inventory and material-classified stockpile volumes. CGQ performed the data processing/analysis work; the page reports no accuracy metric or commercial acceptance.
Supports: applied research collaborator relationship
CGQ names ARA Robotique and Chaac as clients of its automated drone-data processing project for mining/construction object identification, inventory and material-classified stockpile volumes. CGQ performed the data processing/analysis work; the page reports no accuracy metric or commercial acceptance.
Supports: applied research collaborator relationship
CGQ names ARA Robotique and Chaac as clients of its automated drone-data processing project for mining/construction object identification, inventory and material-classified stockpile volumes. CGQ performed the data processing/analysis work; the page reports no accuracy metric or commercial acceptance.
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
Supports: Naval Immersive Training · slug
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
Supports: Naval Immersive Training · name
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
Supports: Naval Immersive Training · technology readiness level
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
Supports: Naval Immersive Training · technicaldomainslugs
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
Supports: Naval Immersive Training · capability type
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
Supports: Naval Immersive Training · technicaldomainslugs
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
Supports: Naval Immersive Training · summary
Chaac’s military catalogue offers Accident Recreation, Alpha Station, ColRegs Collaborative, Port Approach, Ship Formation and Ship Navigation for naval training and rehearsal.
FY2024–25 Public Accounts reports CAD967,313 aggregate payments to Chaac Technologies Inc. under Department of Industry Scientific and Research Services. This includes cash and accrued charges, without a specific contract/product link; do not add it to award values or infer total revenue.
FY2024–25 Public Accounts reports CAD200,000 aggregate payments to Chaac Technologies Inc. under NRC Industrial Research Assistance Program contributions to firms. Reported payments include cash and accrued charges; this is not revenue or linked to one specified agreement.
CEIM’s September2022 announcement says Société d’Investissement Jeunesse’s Fonds d’impact awarded CAD100,000 financial assistance to Chaac for commercialization; the inspected body does not identify equity, repayment terms or cash completion.
The historical 2022 DND contract page uses 4710 Saint-Ambroise, suite201, Montréal and a 5–9 employee band. Those dated supplier fields do not establish the current office or workforce.
Supports: Profile · disclosed financing summary
CanadaBuys records W7714-207249/002/SI awarded April 13, 2022 to Chaac, total CAD1,148,971, ending April 13, 2024, for DND/DRDC research and development. This is a historical contract total, not annual revenue or a current product-specific order.
Corporations Canada lists active CHAAC TECHNOLOGIES INC., corporation 448725-7, incorporated under the CBCA on July 15, 2008; BN 854102894RC0001. This legal incorporation date is distinct from CEIM’s 2014 brand-history statement.
Supports: Profile · ownership
The significant-control record last confirmed July 15, 2026 identifies Guillaume Nepveu holding more than 75% of shares directly and individually from July 15, 2008. It does not disclose an exact percentage, all shareholders, citizenship or 100% Canadian ownership.
Supports: Profile · canadian footprint
Registered business office is 313-33 rue Prince, Montréal, Québec H3C 2M7, matching the current corporate contact page; it is not a certified test or production facility.
The June 2022 Québec FDE report row91 lists SQRI60222, Programme Innovation, CAD146,333 to CHAAC TECHNOLOGIES INC., Montréal. The category for rows77–105 is subvention normée. This is an authorized financial commitment, not evidence of total company revenue or cash received.
Supports: AI Georeferenced Aerial Data 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.
Supports: AI Georeferenced Aerial Data 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: Naval Immersive Training · core features
ColRegs Collaborative is a two-player collision-regulations learning simulation with simulated AIS/radar/radio; Meta Quest 3, English/French, 15–30 minutes, one difficulty level. Expanded fleets and environmental conditions are future possibilities.
Supports: Naval Immersive Training · technical tags
ColRegs Collaborative is a two-player collision-regulations learning simulation with simulated AIS/radar/radio; Meta Quest 3, English/French, 15–30 minutes, one difficulty level. Expanded fleets and environmental conditions are future possibilities.
Supports: Naval Immersive Training · defence applications
ColRegs Collaborative is a two-player collision-regulations learning simulation with simulated AIS/radar/radio; Meta Quest 3, English/French, 15–30 minutes, one difficulty level. Expanded fleets and environmental conditions are future possibilities.
Ship Navigation is offered for Meta Quest 3 in English and French as a 30–45-minute group activity with seven difficulty levels. It teaches chart/visual correlation and fundamental coastal navigation with instructor debrief; listed gyro-error and advanced routines are future possibilities.
Supports: Naval Immersive Training · core features
Ship Navigation is offered for Meta Quest 3 in English and French as a 30–45-minute group activity with seven difficulty levels. It teaches chart/visual correlation and fundamental coastal navigation with instructor debrief; listed gyro-error and advanced routines are future possibilities.
Supports: Naval Immersive Training · technical tags
Ship Navigation is offered for Meta Quest 3 in English and French as a 30–45-minute group activity with seven difficulty levels. It teaches chart/visual correlation and fundamental coastal navigation with instructor debrief; listed gyro-error and advanced routines are future possibilities.
Supports: Naval Immersive Training · technical tags
Ship Navigation is offered for Meta Quest 3 in English and French as a 30–45-minute group activity with seven difficulty levels. It teaches chart/visual correlation and fundamental coastal navigation with instructor debrief; listed gyro-error and advanced routines are future possibilities.
Supports: Naval Immersive Training · core features
Port Approach recreates Vancouver using historical AIS data, overhead viewpoints and simulated radio; Meta Quest 3, English/French, single user, 15–30 minutes, three levels. Live AIS feeds, bridge views and more ports are future developments, not current operational-navigation feeds.
Supports: Workplace VR Training and Facilitated Sessions · core features
FireGuard VR is specified for Meta Quest 3, English and French, single-user sessions of 30 minutes with three difficulty levels; the module practices fire-hazard recognition and extinguisher response in simulation.
Supports: Workplace VR Training and Facilitated Sessions · summary
FireGuard VR is specified for Meta Quest 3, English and French, single-user sessions of 30 minutes with three difficulty levels; the module practices fire-hazard recognition and extinguisher response in simulation.
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