Physical AI · Vancouver, BC

Onboard AI
for crewed aviation.

Voxelis equips aircraft with the sensing, compute, and connectivity to operate alongside the crew, turning every flight hour into multi-mission intelligence at fleet scale.

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Why now

Aviation's most capable machines are underutilized.

Millions of flight hours are flown each year across critical missions, wildfire response, search and rescue, infrastructure inspection, ISR. Every aircraft is limited to the workload of the crew onboard. One mission at a time.

Voxelis equips every airframe with the sensing, compute, and connectivity to operate beyond that limit. Multiple missions in parallel. Real-time intelligence delivered without additional crew, on the aircraft already flying.

Crewed aviation · BC airspace

10×

Lower cost vs. purpose-built airborne sensors

Under 30s

Pilot install. No technician, no hangar.

15 lbs

Total airborne system weight

For fleet operators · Sensor payload

VoxVision.

VoxVision turns any compatible aircraft into a multi-mission intelligence node. Seven sensor systems, dual NVIDIA edge AI, and more onboard compute than anything designed for mass airborne deployment, in a 7 kg payload that mounts in under 30 seconds and is operated from an iPad.

Mass: ~7 kg
Compute: Dual NVIDIA Orin · 315 TOPS
Coverage: Up to 360° machine vision
Networking: IP modem + Gigabit Ethernet

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VoxVision installed on an Airbus AS350 helicopter — Mounted · AS350

VoxVision sensor callouts diagram — 7 sensor systems

Differentiation

What makes VoxVision different.

Existing airborne sensors were designed for a handful of dedicated platforms. VoxVision was designed from day one for fleet-wide deployment on the aircraft already flying.

Comparison of typical purpose-built airborne sensors and VoxVision.
	Typical airborne sensors	VoxVision
Cost per unit	Typical $1M+ for purpose-built systems	VoxVision ≈ one-tenth the cost
Install time	Typical Specialized technician, hours of downtime	VoxVision Pilot, under 30 seconds
System weight	Typical 50+ lbs, often more	VoxVision ≈15 lbs total
Operation	Typical Dedicated sensor operator every flight	VoxVision Pilot via tablet, no extra crew
Data delivery	Typical Post-flight, hours after landing	VoxVision Real-time, in flight
Onboard compute	Typical None, post-flight transfer to ground	VoxVision 315 TOPS · Dual NVIDIA Orin
Software updates	Typical Hardware refresh cycles	VoxVision OTA, fleet-wide

Comparison frame: purpose-built airborne EO/IR systems in the same role class.

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For agencies and analysts · Cloud platform

VoxNet.

Real-time intelligence where you already work. VoxNet streams live data, EO/IR imagery, on-demand mapping surveys, and updating GIS layers from every Voxelis-equipped aircraft straight into the agency stack, securely stored, tagged to the operator and the end user.

01

Live mission picture

Detections, perimeter changes, and atmospheric data update on the GIS layer while the aircraft is still on station, no post-flight downloads.
02

GIS, native

Georeferenced output integrates directly with the GIS platforms your analysts already use. Standards-based, drop-in.
03

Fleet-wide capability releases

New detection models and mission profiles ship over the air to every equipped aircraft at once. Capability arrives in the air.

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Wireframe earth. Voxelis geospatial network

Mission set

Multi-mission, every flight.

The same payload and platform serve every mission. Profiles change in software, not hardware, so a single retrofit unlocks every category below.

01 / 06

Wildfire

Real-time fire detection, perimeter mapping, hotspot tracking across the whole contracted fleet.

02 / 06

Search & Rescue

AI-assisted detection of persons and objects in complex terrain. Broader coverage from every aircraft on scene.

03 / 06

Infrastructure

Powerline, pipeline, and corridor inspection. Automated anomaly detection from routine overflights.

04 / 06

Agriculture

Crop health, irrigation assessment, and yield prediction from fleet-equipped agricultural aviation.

05 / 06

Maritime

Coastal surveillance, vessel tracking, and environmental monitoring from offshore aviation.

06 / 06

Sovereignty & ISR

Tactical situational awareness and persistent surveillance, deployable on existing government fleets.

Use case · Wildfire response

From water bomber to intelligence node.

Wildfire is where Voxelis is operationally first. The need is most acute, the contracted fleet is the largest, and BC is where we test against the hardest version of the problem.

An aircraft dropping water on a fire can now return real-time intelligence (fire behavior, weather, assets at risk, spread potential) back to the agency mission managers running the response.

The same flight that drops retardant becomes a continuous mapping pass. Hotspot detection, perimeter changes, and infrastructure exposure update on the GIS layer while the aircraft is still on station.

→

Real-time fire behavior + spread potential

Onboard detection from EO/IR + thermal, fused with environmental sensors.
→

Continuous perimeter + hotspot mapping

24.5MP nadir surveys deliver drone-quality maps from manned aircraft.
→

Live GIS layers for asset allocation

VoxNet pushes detections and updates straight into the agency's GIS stack.

Where this is going

The fleet already flies. The mission can be bigger.

Two arcs the platform is built for. Both running today. Both compounding with every install.

01 · Civil fleets as national capability

A national intelligence layer, flying on civil aircraft.

Wildfire response, emergency and disaster management, environmental research and compliance, sovereignty and border surveillance. Every one of those missions already flies on civil airframes, every day, in airspace government fleets can't blanket alone.

Equipped with VoxVision and connected through VoxNet, those civil fleets become national capability. Sovereign and agency-grade intelligence, contributed by the aircraft already on contract, augmenting government aircraft instead of asking taxpayers to duplicate them.

Wildfire ·Disaster response ·Environmental ·Maritime ·Sovereignty & ISR

02 · Airborne agents alongside the crew

The path to autonomy starts in the right seat.

Onboard AI today watches sensors so pilots don't have to. The next layer is airborne agents working alongside the crew. Sensor steering, detection triage, mission reporting, in-flight decision support. Taking the repetitive load so humans focus on judgment and command.

Every flight hour is training data on how the hardest missions are flown by the best pilots. The result is safer missions, more effective missions, and a system that gets sharper with every release.

Sensor autonomy ·Detection triage ·Mission reporting ·Decision support