Smaller on Jetson-class compute
Inference at the sensor
Works with any performer’s model
Already demonstrated: billion-parameter-class vision–language–action models running on Jetson-class hardware at real-time control frequencies.
Read our research →

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.
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.