01
Source
Preserve evidence before interpretation.
Satellite, aerial, sensor, field, report, and infrastructure inputs remain traceable by source, time, modality, and access context.
Canadian geospatial intelligence
Spatial evidence infrastructure for reviewed geospatial state.
We turn satellite, sensor, aerial, field, and infrastructure evidence into human-reviewed spatial-state and change records: source-backed, uncertainty-aware, and designed for sensitive geospatial workflows.
Made in Canada for Canadian sovereignty, critical infrastructure resilience, and trusted allied geospatial work.
Canada firstReviewed stateCandidate gatedProvenance intact
Why it exists
Operational teams need spatial claims they can inspect, trace, and defend.
Canada and its allies operate across vast northern, maritime, infrastructure, and coalition environments where change can be slow, hidden, contested, or fragmented across sources. 0.2 focuses on the trusted geospatial evidence layer beneath downstream decisions: what changed, where it changed, what source supports the assessment, how well it was registered, what remains uncertain, and who reviewed it.
Evidence-to-state chain
From source evidence to reviewed records.
02
Register
Expose spatial alignment and uncertainty.
Evidence is anchored to site, terrain, coordinate, and time frames while registration quality and location uncertainty stay visible.
03
Candidate
Keep model output as proposed observation.
AI and analyst workflows can surface possible changes, obstructions, damage indicators, or route conditions without treating them as accepted state.
04
Review
Human-governed review is the gate.
Authorized reviewers accept, reject, mark uncertain, supersede, or request more evidence with accountable judgement.
05
Record
Publish trusted spatial-state and change records.
Only reviewed claims become durable records with source lineage, confidence, uncertainty, review status, and audit history intact.
06
Deliver
Feed downstream systems without stripping provenance.
GIS, analytics, reporting, and authorized mission systems receive reviewed records, not flattened overlays or unsupported alerts.
Trust principles
The register only becomes useful when uncertainty stays visible.
Source discipline
Raw evidence remains source-backed
Capture, source, time, modality, and access context stay attached so later records can be traced back to the evidence that supports them.
Registration quality
Alignment is reviewed instead of assumed
Site frames, coordinate policy, height assumptions, and weak registration are visible enough for reviewers to judge the spatial claim.
Candidate boundary
AI stays candidate-only
Models and automated monitors can propose observations, but they do not write accepted spatial state without human-governed review.
Durable record
Change records keep provenance intact
Accepted state carries review status, confidence, uncertainty, freshness, lineage, and supersession history into downstream use.
Capability areas
A governed spatial intelligence layer.
Area state
Source-backed domain awareness
Monitor territory, maritime approaches, critical infrastructure, remote assets, and operational areas as reviewed state over time.
Evidence model
Lineage-preserving evidence fusion
Bring imagery, aerial capture, sensors, telemetry, maps, reports, and field observations into a common evidence model without losing source boundaries.
Georegistration
Registration quality as a first-class signal
Record site frames, time, transforms, repeatable comparison baselines, and the uncertainty that affects every spatial claim.
Candidate generation
AI-assisted candidate observation for review
Surface possible changes, obstructions, damage indicators, route conditions, and infrastructure state while preserving candidate status.
Traceability
Provenance and confidence
Preserve source lineage, confidence dimensions, uncertainty, review status, freshness, and audit history from collection to decision support.
Controlled access
Governed collaboration
Support controlled intelligence workflows for Canadian teams and trusted allied partners where discretion and review authority matter.
Non-kinetic examples
Reviewed spatial evidence for real operating constraints.
Route condition
Assess an obstruction under degraded positioning.
Preserve the capture, record weak registration, keep the obstruction as a candidate, and publish a route-condition record only after review.
Infrastructure change
Compare satellite, aerial, field, and report evidence.
Separate confirmed change from uncertain areas so GIS, planning, and reporting teams inherit both the reviewed record and the unresolved evidence gaps.
Critical-site monitoring
Prevent alert streams from becoming unreviewed state.
Repeated alerts remain candidates until a reviewer accepts, rejects, marks uncertain, or requests a different collection angle.
Partner fit
Built for teams that need reviewed spatial evidence, not just another map.
Public mission owners
Canadian public-sector and defence
For sovereignty-aware geospatial work where evidence, review authority, and accountable records matter more than generic dashboard coverage.
Resilience operators
Critical infrastructure teams
For infrastructure, route, remote-site, and continuity workflows that need change evidence with confidence and unresolved gaps preserved.
Allied collaboration
Trusted allied geospatial partners
For vetted partner contexts where spatial state must be shared without flattening source boundaries, uncertainty, or review status.
Positioning boundary
Not a marketplace, detector, viewer, synthetic-data product, or C2 dashboard.
0.2 is the governed evidence layer those systems can feed or consume. It is designed for non-kinetic spatial understanding, infrastructure and route assessment, observation retasking, and reviewed evidence workflows where model output never bypasses human review.
About
Measurable spatial systems for reviewable evidence.
Systems background
Production visual systems constrained by evidence.
Experience in real-time spatial systems, applied AI, and visual clarity is applied to records that must remain measurable, traceable, and reviewable.
Spatial context
3D context is an evidence surface, not the claim owner.
Reconstruction, terrain, and spatial views support inspection; reviewed records own the accepted spatial claim.
Built in Canada
Canada-first posture for trusted allied work.
Focused on sovereignty-aware, policy-aware, public-sector and partner conversations where discretion and evidence governance matter.
Contact
Request a briefing.
For Canadian public-sector, defence, security, critical-infrastructure, research, and trusted allied geospatial partners working with spatial evidence, source lineage, review authority, and non-kinetic mission context.
Private by design: use the first note to establish organization, context, and fit. Sensitive operational material moves to a vetted channel after the engagement path is clear.