General Instinct
Compresses frontier Vision-Language and World-Action models for edge inference with sub-100ms latency.
This product is an inference infrastructure for Physical AI that compresses frontier vision-language and world-action models to run directly on edge devices, solving the problem of deploying large AI models on limited hardware. It sells to roboticists and AI developers at companies building autonomous machines like humanoids, drones, and industrial robots. It is positioned as a compression and deployment solution that reduces model size 10x while maintaining accuracy, optimized for any silicon with sub-100ms latency, delivered as a containerized service.
Key features
- Compress Vision-Language and World-Action models 10x smaller
- Evaluate model performance on target hardware
- Deploy as a single container with unified API
- Optimized for any edge silicon
- Sub-100ms inference latency