Edge Deployment

When milliseconds matter—in autonomous vehicles, tactical systems, or high-frequency trading—you can't afford the round-trip latency to a cloud inference endpoint. The intelligence must live at the edge.

But edge deployment presents unique challenges: limited compute, constrained power budgets, intermittent connectivity, and the need for models that maintain accuracy even with quantized weights.

Neural Compression

Our Labs division has developed proprietary compression techniques that reduce model size by 90% while retaining 97% of original accuracy. This isn't just quantization—it's architectural innovation at the inference layer.

The result: full agent capabilities running on embedded hardware, with no cloud dependency. True autonomy at the tactical edge.