Sensor domains
RF / SIGINT
Signal classification & emitter ID at the antenna
Wideband RF foundation models running on the platform itself — spectrum awareness in contested airspace without a reach-back link. Signals are classified, geolocated, and acted on where they’re received.
Radar / SAR
Detection & ATR inside the processing chain
Automatic target recognition from synthetic-aperture and moving-target radar, folded into the sensor’s own processing chain — detections leave the dish as decisions, not raw returns.
EO / IR
Infrared perception at frame rate
Thermal and electro-optical models held at real-time frame rates on turret- and gimbal-class compute — every frame scanned, tracked, and classified on the sensor itself.
The acceleration layer
Post-training compression that works with any performer’s model — no retraining pipeline handover, no architecture lock-in. The output is the same model, folded to fit.
01
Footprint reduction
10× smaller in memory and storage — inside the platform’s SWaP envelope.
02
Latency & energy, measured
Real numbers from your target chip — on-device, batch 1 — not simulator estimates.
03
Capability retained
Mission-critical signal structure preserved through compression; accuracy validated against the metrics you set.
04
Auditable for T&E
A validation report structured for government test-and-evaluation review.
Where it runs
Deployment targets are the processors already on the platform — no new hardware qualification cycle.
ISR platforms
Group 2–5 UAS mission computers and pod processors.
Autonomous systems
Jetson-class GPU modules on ground and maritime autonomy stacks.
C5ISR nodes
Edge servers and tactical gateways at the forward node.
Embedded sensors
SoC- and FPGA-adjacent compute inside the sensor package itself.
Scope a pilot against your hardware.
Bring a model and a target processor; the pilot returns measured latency, energy, and accuracy on real hardware.