Engineered as one system

AI-First Stack.Integration Ready.Actionable Intelligence.

Meet the perception platform, engineered as one complete end-to-end solution — camera, optics, edge compute, and an AI-agnostic software layer. One mechanical interface, one power budget, one qualification cycle: less integration risk, less weight, less time to field.

Introducing the perception platform

One Integration Replaces a Multi-Vendor Programme.

The complete answer to fragmented UAV sensing: a 10K high-resolution camera, edge compute, and an AI-agnostic container (IGNITE) — engineered as one system, installed as one lightweight ISR solution.

For the integrator: one qualified system instead of a multi-year sensor programme. For the operator: the whole area at detection resolution, delivered as findings.

  • Ship faster Skip years of sensor, compute, and AI-integration R&D and go to market with a flight-ready system.
  • Reduce complexity One complete end-to-end solution replaces a multi-year, multi-vendor development programme.
  • Stay focused on your platform Keep your engineering effort on the airframe, not on building a perception stack from scratch.
From 350 g

Including mission optics

MAVLink

Standard interfaces for configuration and control

NDAA compliant

Fully trusted and allied supply chain

01 — Capture

ROOK & ECHO · the Sensor

Two 10K perception sensors on a shared architecture. Choose the optics strategy that fits the platform and mission — both feed the same FORGE and IGNITE:AI pipeline.

Full product page: ROOK & ECHO →  How it works →

Same 10K core, calibration and output. The two sensors differ in one decision: interchangeable off-the-shelf optics, or a fixed, sealed, size-and-weight-optimised body with purpose-built aerial lenses.

ROOK 10K perception sensor with its FORGE processing module, connected by ribbon cable.

ROOK

Sealed · SWaP-optimised
Best for Size-, weight- and power-constrained platforms operating in harsh environments.
60 mm integrated optic
Fixed 26° field of view, motorized autofocus — engineered for aerial ISR
SWaP-optimised
Lowest size, weight and power in the family
Sealed where it matters
The exposed optic — the only part outside the airframe — is IP67-sealed against dust, moisture and vibration
100 MP CMOS · 10K
Full-frame capture at 10,000 × 10,000 px

Go to ROOK:10K

ECHO 10K perception sensor with a Canon RF 50 mm lens and its FORGE processing module.

ECHO

Interchangeable optics
Best for Missions that need flexible standoff and field-swappable lenses across roles.
Canon RF mount
Field-swappable commercial off-the-shelf optics
24 mm → 300 mm
Wide-area to standoff, changed in the field
100 MP CMOS · 10K
Full-frame capture at 10,000 × 10,000 px
Global shutter
All pixels exposed at once

Go to ECHO:10K

02 — Process

FORGE · the Compute & Connectivity

Save time, bandwidth, and decisions; process on the fly, send what matters.

How it works →

Jetson Orin NX
16 GB edge compute
2 TB onboard SSD
full-mission storage
160 g
at [dimensions — TBC]
Every pixel processed
zero compression
Sealed enclosures, pods
mounts anywhere
Interfaces
Ethernet (1G), MAVLink, USB 3.0, hardware sync

03 — Deliver

IGNITE:AI · the Intelligence Layer

Give operators exactly the intel necessary to make key split-second decisions in real time.

Full product page: IGNITE:AI →  How it works →

AI model-agnostic
your model, your container
Air-gapped + encrypted
zero Sapient access
GPU tiling + cropping
10K handled onboard
Model formats
PyTorch, TensorFlow, ONNX, OpenCV DNN — TensorRT onboard
16 GB shared memory
shared between the pipeline and your model
Georef + tracking
targets held across frames
Cursor-on-Target (CoT) output
straight into ATAK
C2-ready
existing command systems
IGNITE:AI onboard intelligence pipeline — step by step The IGNITE:AI path highlights one stage at a time, in sequence: sensor feed, GPU tiling and cropping, model-agnostic AI, georeferencing and tracking, Cursor-on-Target output, then delivery to ATAK and C2 systems — all inside an air-gapped, encrypted enclave. IGNITE:AI · DATA PATH Sensor to decision, onboard AIR-GAPPED · ENCRYPTED Sensor feed Raw imagery · up to 10K resolution INGEST GPU tiling + cropping Full-resolution handled onboard 01 AI model — model-agnostic Your model, your container 02 Georef + tracking Targets held across frames 03 Cursor-on-Target (CoT) Structured output, ready to route ATAK Straight to the operator C2 systems Existing command chain YOUR IP. YOUR CONTROL. Sapient has zero visibility into your models, data, or output.
Your IP. Your control.

Sapient has zero visibility into your models, training data, or operational output. Bring your own AI or work with a partner — IGNITE:AI runs the same either way.

04 — Integrate

One Stack, Any Platform

The same sensor integrates across every class of unmanned platform, from multirotors at 50 m to stratospheric HAPS. Integration is the same MAVLink interface and the same power and data contract at every tier.

  • MAVLinkThe camera joins your existing network as a standard camera component — ArduPilot or PX4, no fork and no patched build.
  • 11–20 V · 30 WOne power and data contract at every tier: DC in, telemetry to the autopilot, Ethernet and USB‑C for data.
  • From 350 gPer camera, sensor and mission optics — before processing, which runs on FORGE or on NVIDIA hardware you already fly.
  • Your model, unchangedA container at the inference boundary. No retraining, no dataset sharing, no pipeline to rebuild.

Platform integration in detail →

Where it works

Built for the Missions That Matter

Twelve use cases across four missions. Small objects, large areas, real time — wherever the stakes are highest.

100% FOV · NO ZOOM-SWITCH

Tactical Recon

Complete field of view at detection resolution — no zoom-switching, no peripheral blindness.

PERSISTENT · APPROACHES HELD POSITION TRACK 01 TRACK 02

Force Protection & Overwatch

A position and its approaches held persistently, with contacts kept as the aircraft moves.

ONE FRAME · TWO CLASSES VEHICLE PERSON

Dismount & Vehicle Detection

People and vehicles found in the same frame as the surrounding context.

All of Frontline Reconnaissance →

Partners & validation

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