Briefing — For Investors · Confidential
The physical intelligence layer, from orbit to doorstep
Platform6ix is the provider-agnostic fusion layer that turns live satellite, drone and ground-video feeds into mission-ready events, narratives and alerts — a capital-light software business on top of a booming sensor market, built on heritage products already in the field.
01 — The investment thesis
A capital-light layer on a booming sensor market
Operators don't need more satellite files, camera walls or drone footage — they need faster answers. Platform6ix sits above the sensor owners, not alongside them.
The problem is real
Agencies and operators already buy satellite data, video monitoring and drone services — for wildfire, flood, maritime, perimeter and sovereignty missions. Demand exists today; what's missing is one fused picture.
The wedge is focused
Land on one acute pain — all-weather monitoring of sites, fire lines and coastlines — then expand vertical by vertical with the same fabric underneath.
The platform scales
Provider-agnostic and source-blind: open Sentinel data first, commercial constellations, partner drone fleets and 500+ camera firmwares plug into the same seam. We own the fusion layer, not the hardware.
02 — The problem
Drowning in feeds — starved of decisions
Volume, resolution and revisit are exploding across every altitude while human exploitation stays flat. Sources sit in silos, and turning a raw feed into a timely, trusted answer remains slow and costly.
Today's pipeline — the gap we close
- Raw feeds — satellite, drone, camera, RF
- Manual exploitation (the bottleneck)
- Scattered tools & GIS
- Operational decision — too late
03 — Why now
Six tailwinds converging on the fusion layer
Climate & disasters
Record wildfire, flood and storm seasons make persistent monitoring a national priority, year after year.
Conflict & defence
Ukraine proved commercial satellite + AI ISR decisive — and that procurement can move fast when the capability is real.
Sovereign-EO race
Nations are funding domestic constellations and data sovereignty — Copernicus expansion, Rheinmetall–ICEYE at ~$1.9B.
AI exploitation
Automated analysis now beats first-pass human review; software is the growth segment of the geospatial market.
Sensor proliferation
More satellites, drones and cameras mean more data — and more demand for the processing and fusion layer above them.
Capital inflows
VC defence-tech funding grew from under $1B in 2018 to over $15B in 2025.
04 — The product
From pixels to decisions
An execution layer, not a black box: explicit indices and vision models produce auditable events; AI only summarizes measured numbers. Six platform layers carry a photon to a decision.
- Ingest
- Optical + SAR passes, drone sorties, camera & sensor streams
- Normalize
- One geo-temporal fabric, one object schema
- Detect
- Measurable signals — indices, backscatter, vision models
- Score
- Thresholded events against the site baseline
- Explain
- AI analyst narrative grounded in measured numbers
- Alert
- Routed to the team — verified by a licensed operator
- Act
- Voice-down, dispatch, tasking, insurer packet
The investor-friendly leap. Explainable by construction.
We never ask an AI to "look at a map." Explicit measurements — dNBR, NDVI, NDWI, NDBI, SAR backscatter, calibrated camera detections — produce auditable events; the AI writes the brief from those numbers, and every claim carries its evidence level.
05 — Capabilities
Built production-grade, architected for scale
Multi-altitude ingestion
Optical (Sentinel-2) and SAR (Sentinel-1) via STAC catalogs, dock drones and partner RPAS fleets, plus 500+ camera / VMS firmwares — one pipeline from orbit to doorstep.
Source-blind provider seam
A standardized provider interface emits a common Scene — band cube, cloud mask, geometadata — so everything downstream is source-blind. Commercial feeds (Planet, Maxar, ICEYE, BlackSky) plug in per mission.
Spectral & radar processing
NDVI, SWIR and false-colour composites from optical; VV·VH ratio and backscatter from SAR for water, floods and vessels — the CrunchStack execution layer inside the platform.
Explainable event detection
Event classes with explicit thresholds — wildfire dNBR, flood water-fraction, urban-growth NDBI — plus ground detections verified by operators. Auditable, never a black box.
AI analyst narratives
The AI writes the operational brief from measured numbers only, with every claim carrying its evidence level — verified, correlated or risk.
Console & watchlists
Put a fire line, coastline, shipping lane or laydown yard under watch in seconds — the PolyMatic console with 30+ live overlays, time-lapse and workflow hand-off.
06 — Use cases · the detector catalog
One catalog, every altitude
Ground monitoring runs dozens of scene-level detectors; the mesh runs the equivalent menu over whole regions — and fuses it with the cameras on the fence line.
Wildfire & burn-scar
Smoke and fire detection at fire-line scale, re-baselined every pass.
Flood & standing water
Hazard and incident detection across whole floodplains, all-weather via SAR.
Vessel & maritime
Dark-vessel and object detection over shipping lanes and coastal AOIs.
Construction & mining
Perimeter and unauthorized-activity alerts over a region; 4D progress against plan.
Vegetation & land-cover
Rule-based stress monitoring for fields, forests and linear infrastructure.
Security monitoring
Intrusion, loitering and staging detection over yards, borders and critical sites — fused with ground cameras.
Loop: detect → verify → alert → act
07 — The proven model
Remote monitoring, extended to Earth's surface
Remote video monitoring is a mature managed-services industry. Platform6ix runs the same pattern natively on the ground — and extends it to assets and areas too large for any camera.
- Continuous video monitoring
- Persistent AOI watch — every revisit, sortie and frame scored automatically
- Alarm & video verification
- Explainable event verification — indices, confidence and narrative before any alert
- Cloud video analytics
- Cloud spectral & radar analytics — AI on the feed for optical, SAR and video
- Voice interventions & alerts
- Routed alerts & briefings — verified by the 24/7 SOC, ending in action
- Device health monitoring
- Feed & data-quality health — provider status, cloud cover, freshness per layer
- Virtual tour & time-lapse
- Time-lapse & change review — replay any site or AOI across weeks and seasons
08 — Target customers
One customer profile, five prioritized segments
The ideal customer: an operations team with a monitoring mandate, limited analyst capacity, and an urgent need for faster event detection.
Wildfire & flood management
Provincial wildfire services, emergency operations centres, public safety, Indigenous and northern response.
Security & construction
Security integrators, construction management, conservation authorities, municipalities, infrastructure operators.
Maritime & coastal
Fisheries & oceans, coast guard, transport authorities, ports and maritime security units.
Defence · Arctic · sovereignty
Defence innovation programs, research agencies, NORAD-adjacent missions, primes seeking dual-use software.
Natural resources & land
Forestry and agriculture, mining and environmental compliance, land-use planners.
09 — Market opportunity
A large market, entered the capital-light way
Sources: MarketsandMarkets · EUSPA EO market report · NGA Luno A awards · analyst estimates
10 — Business model
Paid pilots, then recurring mission revenue
Software is the scalable asset; services help us land and learn. Government missions climb a pricing ladder while the commercial mesh compounds site by site.
Paid pilot
One use case, one region — validation plus an operations report.
Starter mission
One agency, one event class, open Sentinel data. Annual SaaS.
Operations mission
Multi-AOI, multi-event, alerts, dashboards and API. Annual SaaS.
Secure / defence
Private cloud or on-prem, commercial data, audit logs. Annual SaaS.
Commercial recurring core
- The six P6 offers — Watch, Tasking, Assured, Answers, Twin, Data & API — land with a pilot and expand by site, AOI and API.
Data pass-through
- Bring-your-own-imagery support and integration margin on Planet, Maxar and ICEYE — never just a reseller.
Professional services
- Custom detectors, ground-truth, GIS integration, secure deployment. Services land pilots; software is the scalable asset.
PRICING SHOWN IS ILLUSTRATIVE LIST PRICING · CHANNEL-PARTNER AND GOVERNMENT VEHICLES AVAILABLE
11 — Competitive landscape
We don't beat sensor companies — we're the layer above them
vs. satellite owners
- Sensor-agnostic — we fuse the best of every constellation, fleet and camera network; owners are biased to their own data. We are the layer above them.
vs. heavyweight platforms
- Lighter, faster and sovereign-deployable for allied and smaller agencies a heavyweight engagement won't serve.
vs. single-modality analytics
- Optical + SAR + drone + ground-video fusion plus the tasking and execution layer — not one sensor's analytics alone.
12 — Go-to-market
Land in Canada, expand to allied & European buyers
We are not creating demand from scratch — we package monitoring, detection, narrative and workflow into a faster, more affordable, provider-agnostic layer for buyers who already spend here.
1 · Canada
Wildfire, flood, maritime and Arctic missions — paid pilots with agencies that already buy satellite analytics and monitoring.
2 · Five Eyes & NATO
Allied ministries and dual-use programs; export the same sovereign-deployable stack.
3 · EU & sovereign-EO
European downstream programs and nations funding data sovereignty.
- Contract funding
- Innovation programs (ISC challenge & testing streams; IDEaS for defence-adjacent) fund pre-commercial work — two active proposals at CAD $2.15M each.
- Paid pilots
- One agency, one region; convert into recurring mission subscriptions.
- Standing offers
- Supply arrangements and standing offers — the licence to hunt across departments.
- Prime partnerships
- Ride established primes' and integrators' credentials into larger programs.
The killer demo. Wildfire, all-weather, end to end.
SAR + optical + drone monitoring for emergency management — a fence-line-to-orbit picture that extends directly to flood, maritime, Arctic, infrastructure and insurance missions.
13 — Partner delivery
Licensed to partners on day one
Security and geospatial integrators get a space-and-ground monitoring product to sell immediately — no constellation to launch, no data-science team to hire.
Hosted & fully managed
We run ingestion, processing and uptime; the partner owns the customer.
Integrates with your stack
GIS / Esri, GeoJSON, REST API, COG tiles — the fabric feeds existing tools.
White-label console & alerts
Partner-branded watchlists, event cards and briefings.
Co-managed operations
We tune detectors, validate events and cut false alerts alongside the partner's SOC.
Sector playbooks
Wildfire, flood, maritime, infrastructure, agriculture, insurance — packaged per vertical.
Recurring & capital-light
Managed-service subscriptions, not hardware. No constellation to launch, no data-science team to hire.
14 — Digital twin · sites to business
Test decisions before you make them
The same twin discipline that keeps a site model fresh extends to the business itself: a live replica built from ERP, accounting and operations data, where executives forecast a change's impact before it hits the real company.
Seven layers, data to decision
- Business data connectors — ERP, accounting, CRM, inventory, operations
- Process mining — how the business actually runs, from its own records
- Business entity graph — customers, suppliers, assets, flows
- Simulation engine — a live replica that stays current
- Predictive models — cashflow, late invoices, shortages, churn, margin, capacity
- Executive decision cockpit — current vs future state, risks, ROI
- Agentic action layer — drafts the response; people approve
What executives forecast
- Cashflow · Bottlenecks · Capacity · Customer risk · Inventory risk · Operational impact
What-if scenarios
- Supplier failure · Demand spike · Shipment delays · Price change · Hiring change · Automation change
- Human in the loop — agents draft the response; people approve every action
15 — Salient features & the quantum question
Classical today, quantum-ready
Nothing here depends on quantum hardware — revenue stands on classical compute today. Quantum is a researched roadmap, positioned honestly.
Today · classical
- Production AI-GEOINT on the Platform6ix agentic stack — optical + SAR fusion, explainable detection, narratives
- Runs on classical and GPU compute; revenue stands on its own today
- Quantum-inspired optimization runs on normal hardware where it helps
Roadmap · quantum
- Real research exists: tasking & scheduling optimization, SAR interferometry, image fusion, QKD-secure delivery
- No production quantum advantage yet — and we say so plainly
- Quantum is a roadmap and differentiator, not a dependency
- Detection accuracy
- Explainable thresholds, confidence scores, human-in-the-loop review, historical validation.
- Incumbents & big platforms
- Position as the provider-agnostic execution layer — integrate with them, don't compete for their hardware.
- Data licensing cost
- Open Sentinel data first; add commercial feeds only when a mission pays for them.
- Compute & API costs
- Event-driven processing over continuous full-feed exploitation; edge inference where backhaul is limited.
- Security & compliance
- Audit logs, access control, private deployment options, procurement-ready documentation — remote-sensing regulation factored into the compliance plan.
16 — Roadmap & team
From production-grade to operations-grade
Now — Production-grade
- CrunchStack processes live satellite feeds; PolyMatic runs 30+ overlays
- Explainable event classes with AI narratives
- Containerized deploys; console and watchlists in the field
6–12 months — Operations-grade
- Continuous ingestion with map-native tiling and alerting
- Optical + SAR + drone + ground fusion at mission scale
- Commercial feeds per mission; audit logs throughout
12 months + — Secure & scaled
- Private-cloud and on-prem sovereign deployments
- Custom detectors for defence and Arctic missions
- Multi-jurisdiction operations with partner channels
Sebastien Vaval
Co-Founder · co-CEO
Operations, partnerships, business services and business development.
Arunabh Das
Co-Founder · co-CEO
CTO with 20+ years building enterprise-grade software across mobile, cloud and AI systems.
"Ground truth. Any altitude. Anytime. The question is no longer whether something was seen — it is what the mesh predicts it will do next."Platform6ix — operating thesis
Let's build the decision layer together
Turn live optical, radar, drone and ground feeds into the decisions that matter. Model the deal, or start the conversation.