Sensor intelligence that runs where the mission is — not in the cloud.

Sensor intelligence that runs where the mission is — not in the cloud.

The only on-edge acceleration layer for defense AI models. Deploy locally on SWaP-limited hardware for maximum mission execution.

The only on-edge acceleration layer for defense AI models. Deploy locally on SWaP-limited hardware for maximum mission execution.

10×

10×

Smaller on Jetson-class compute

real-time

real-time

Inference at the sensor

post-training

post-training

Works with any performer’s model

Smaller, faster, mission-accurate.

Smaller, faster, mission-accurate.

Already demonstrated: billion-parameter-class vision–language–action models running on Jetson-class hardware at real-time control frequencies.

Read our research →

From your model to your hardware.

From your model to your hardware.

1

Your model

Any sensor model you’ve built — RF, radar, SAR, infrared.

2

Compress

Shrunk to fit your hardware, preserving mission-critical signal structure.

3

Test

Measured on your actual chip — real latency, real energy.

4

Validate

Proven against the mission metrics you set — auditable for T&E.

5

Deploy

Handed back ready to run on-platform, packaged and monitored.

Credibility that’s concrete, not decorative.

Credibility that’s concrete, not decorative.

Pedigree

DARPA-program pedigree

Founders led large-scale DARPA efficient-AI programs — Learning with Less Labels and Lifelong Learning Machines.

Research base

Vanderbilt Institute of National Security

Built on national-security-focused AI research at Vanderbilt.

IP

Patent pending

Core compression method; application published December 2025.

Posture

Distribution Statement A

Approved for public release; shareable with any U.S. Government stakeholder.

Bring us a model and a target processor.

Bring us a model and a target processor.

We’ll return measured latency, energy, and accuracy on real hardware — with a validation report against the mission metrics you set at kickoff.

We’ll return measured latency, energy, and accuracy on real hardware — with a validation report against the mission metrics you set at kickoff.