We build robust AI systems, software, models, and hardware, that turn sensor data into trustworthy decisions, on-device and in real time.
Intelligence belongs where the data is born. We design AI systems that run on milliwatts, tolerate noise, and earn the trust required for autonomy in the field, in the air, and in orbit.
Reliability, robustness, and verifiability built into the model, the software, and the silicon. Systems that behave predictably under noise, drift, and adversarial input.
Energy-efficient computing across the stack: model compression, custom accelerators, and runtime systems that put intelligence where the energy is scarce.
Pipelines that compress, denoise, and reason at the source. Multimodal fusion of vision, audio, RF, and physical signals, with the bandwidth, latency, and power of the place they actually run.
Closed-loop perception, prediction, and control for vehicles, drones, and platforms operating in unknown or contested environments where ground truth is partial.
Real-time anomaly detection, predictive monitoring, and fault diagnosis on streaming sensor data, designed to flag the rare event before it becomes a failure.
Intelligence that survives where the network does not: distributed sensing networks, wearable devices, and AI built for the radiation, thermal, and bandwidth realities of orbit.