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AI-on-Hardware Design & Advisory
We help you run ML where it matters most — on-device, at the edge, and in real time..
We support engineering teams designing AI-capable hardware
AI Architecture-to-System Mapping
- Translate AI models (vision, NLP, control logic) into system specs
- Compute, memory, latency, power alignment
- Optimize performance per watt
Silicon Advisory for AI Acceleration
- Guidance on building or choosing accelerators (NPU, DSP, FPGA, or custom RTL)
- Dataflow architecture planning, memory co-design, bandwidth modeling
System Integration for AI Inference
- Aligning AI runtime with hardware stack: firmware, interface, real-time behavior
- Edge compute tuning: vision, speech, sensor fusion