Multi-modal AI for advanced situational decisions.
Astuse turns the cameras, video archives, audio recordings, photos and reports your teams already collect into real-time, explainable, policy-aware situational awareness. Multi-modal enrichment, operator-authored rules, cross-camera re-identification and grounded search, in production today. Built in Montréal, hosted on Canadian-sovereign infrastructure, designed for the regulated and the contested.
WHY ASTUSE FOR DEFENCE
CAF operations generate vast, heterogeneous data. Astuse turns it into decisions.
Text reports, imagery, full-motion video, audio, RF and signals intelligence, sensor telemetry, drone feeds. Traditionally siloed, hard to correlate, and slow to act on. Astuse is purpose-built to learn across these modalities, propagate uncertainty, and surface explainable outputs that a commander, analyst or tactical operator can actually defend.

Live cameras, drone feeds, satellite imagery, audio, video and reports, on one reasoning surface.
Astuse ingests heterogeneous content (fixed and mobile cameras, drone video downlinks, aerial and satellite imagery, recorded audio, full-motion video, photographs, scanned and digital reports) and enriches it automatically. Language identification and translation across reports and transcripts. Named-entity and key-phrase extraction. Speech transcription with speaker separation. Scene detection, object detection, person and face detection, license-plate reading. Every artefact lands in a unified, queryable index that operators and analysts can reason across, in plain language, with citations back to the source.
Every output is cited, lineage-tracked and defensible.
Mission-critical decisions cannot rest on a black-box model. Astuse cites the source frame, transcript line, sensor reading or document page behind every answer, tracks classification levels through the pipeline, and exposes confidence and provenance to the operator. Designed for trust, audit and after-action review.


Runs at the edge when datacentre connectivity is not an option.
Forward elements rarely have datacentre connectivity. Astuse is designed for Size, Weight and Power constrained deployments: live camera and drone analytics can run on a compact edge appliance, with hybrid sync of metadata back to the sovereign control plane when networks recover. Private networking and restricted-egress topologies are standard, with the same operator interface, doctrine and audit trail as the cloud deployment.
No US CLOUD Act exposure. No foreign region routing.
For DND, federal departments and allied operations on Canadian territory, sovereignty is non-negotiable. Astuse hosts and processes 100% of customer data inside Canadian-sovereign data centers, with tenant isolation, encryption at rest and in transit, single sign-on and full audit logs aligned with Canadian compliance regimes.

EXAMPLE APPLICATIONS
What Astuse does for defence customers today.
These are missions the product supports in production, not roadmap. The horizontal platform applies the same enrichment, rules, Re-ID and grounded search across each.
Base & installation security
Persistent fence-line, perimeter and access awareness
Live ingest from fixed cameras and drone overwatch, with detection for persons, vehicles, restricted-area presence, license-plate reading at gates, operator-authored intrusion and loitering rules, and instant notifications by email, in-product alert and outbound webhook into the systems your watch floor already runs.
Cross-camera person-of-interest tracking
Find the same person across the camera estate and the archive
A subject identified at one camera, in one drone clip or in one archived recording can be surfaced everywhere else they appear, with the source frame, the time and the originating feed as the citation. Useful for force protection, base access investigation and after-action review.
Drone and aerial imagery review
From UAV downlinks and satellite stills to indexed evidence
Drone video feeds and aerial or satellite imagery are ingested, enriched and made searchable alongside the rest of the operational record. Analysts can ask in plain language and receive the specific frames, clips and stills back, with timestamp and source as the citation.
Captured media triage
Make sense of large mixed-media caches, fast
Documents, photographs, audio and video dropped into the platform are enriched automatically: language identified and translated, entities and key phrases extracted, speech transcribed with speaker separation, scenes and objects detected. Analysts then query the unified index in natural language and get cited, source-backed answers.
Cross-source comparison and anomaly surfacing
Compare reports, transcripts and other sources for inconsistencies
Ask Astuse to compare what two reports say, what an interview transcript says against an official summary, or what a sequence of field notes describes against what video and imagery actually show. The platform surfaces agreements, contradictions and gaps with citations back to the source artefacts so an analyst can pursue the lead.
After-action reconstruction
One grounded narrative across the entire operational record
A single conversational surface reasons across reports, audio, video and imagery together. Every claim in the narrative is grounded to the source artefact with the originating feed, timestamp and frame as the citation, so the reconstruction passes review and supports doctrine update, wargaming and procurement feedback.
Built to the bar that Canada and its allies are setting.
Astuse is designed to meet the explicit outcomes that the Department of National Defence has articulated for next-generation multi-modal AI, and to interoperate with the multi-intelligence discovery patterns emerging across allied research programs.
Multi-modal AI for advanced situational decisions
Astuse is engineered to deliver the outcomes DND and CAF have set out for next-generation multi-modal AI: learned fusion across heterogeneous data types, spatiotemporal alignment, uncertainty propagation, policy-aware lineage tracking, and SWaP-aware edge deployment.
Maturity today: Production-deployed
Strategy fit: DND/CAF AI Strategy · CAF Digital Campaign Plan · Force Capability Plan (ISR, C2)
Production-ready multi-intelligence discovery, on Canadian-sovereign infrastructure
Modern intelligence and defence work follows a clear pattern: automated enrichment of unstructured digital media, rules-based alerting on matches and exceptions, and tradecraft that surfaces multi-source anomalies. Astuse delivers the production-ready capabilities that defence and public-safety customers can deploy and audit today: multi-modal enrichment across reports, video, audio and imagery, operator-authored rules with multi-channel alerting, grounded analyst search with citations, cross-source comparison for inconsistency surfacing, and cross-camera person tracking. All on Canadian-sovereign infrastructure, with no US CLOUD Act exposure and an audit posture built for ATIP and Loi 25 from day one.
Shipped today: Enrichment · Rules & alerting · Grounded search · Cross-source comparison · Person tracking
Use cases: Captured media triage · Digital evidence review · Force protection · After-action review
Differentiator: 100% Canadian hosting · cited outputs by default
Multi-modal enrichment
Reports, video, audio, imagery
Language identification and translation, named-entity and key-phrase extraction, speech transcription with speaker separation, scene detection, object detection, person and face detection, license-plate reading. Applied automatically to every artefact on ingest.
Rules & alerting
Operator-authored, multi-channel delivery
Analysts and operators write detection rules in natural language. The engine evaluates them against enriched content and dispatches alerts by email, in-product real-time push and outbound webhook into the downstream systems your team already uses.
Grounded analyst search
One question, citations across every modality
Adaptive retrieval across reports, video and audio returns answers grounded to the source artefact: originating feed, frame, timestamp, speaker, transcript line. Multiple analyst modes for enterprise search, recorded video, live cameras and the web.
Cross-source comparison
Surface inconsistencies between sources
Compare reports, transcripts, video and imagery against each other. Astuse flags agreements, contradictions and gaps with citations back to the source artefacts, so an analyst can prioritise the lead worth pursuing rather than re-reading the cache.
See the platform in your environment.
Bring your hardest 30 minutes of footage or your messiest case folder. We’ll show you Astuse running on it, live, in a 45-minute working session.