BRING YOUR MODEL
Hand us your PyTorch or ONNX model as-is. No retraining. No pipeline changes. Your training workflow stays exactly the same.
YOUR MODEL. YOUR HARDWARE.
We convert your existing AI models to run on FPGAs at a fraction of the power — no retraining, no new hardware, no GPU dependency.
Technical papers across sparse inference, event-driven perception, and autonomous edge compute.
SpikeYOLO 5.7× efficiency improvement. Track fast-moving threats in real-time using 5× less power than conventional AI systems.
// ADDITIONAL APPLICATIONS IN MEDICAL AND INDUSTRIAL AVAILABLE ON REQUEST
Hand us your PyTorch or ONNX model as-is. No retraining. No pipeline changes. Your training workflow stays exactly the same.
We handle conversion, optimization, and FPGA deployment. Your engineers interact with the output — not the conversion layer. No HDL expertise required on your end.
We maintain the deployment after handoff. Optimization continues as your workload evolves. You own the outcome. We own the stack.
SWaP-constrained platforms, autonomous systems, EW, radiation-tolerant compute
5G baseband, RF classification, sparse signal processing on FPGAs
Vibration, acoustic, and thermal sensor fusion at the edge
EEG, EMG, and implantable device inference — defining the problem together
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EDGE AI INFERENCE FOR PLATFORMS WHERE EVERY WATT COUNTS.