On-sensor AI Chip Solutions
AI processing directly at the sensor, enabling ultra-low cost and energy-efficient intelligence at the data source.
- Inference at the point of capture — no round trip to the cloud
- Optimized for power, cost, and footprint constraints
- Suited for always-on vision and sensing applications
Intelligence where the data is created
Most edge-AI architectures still move raw sensor data to a separate processor — or to the cloud — before anything intelligent happens. That round trip costs power, latency, bandwidth, and money. Our on-sensor AI chip solutions put the inference directly at the sensor, so the system transmits results, not raw data.
What this enables
- Always-on operation within tight power budgets, because the sensor only wakes the rest of the system when something meaningful happens.
- Ultra-low system cost, by removing the need for a separate AI processor in cost-sensitive designs.
- Privacy by architecture — raw imagery or sensor streams can stay on the device, with only derived events leaving it.
How we engage
We co-design the solution around your constraint — the power envelope, the unit cost target, the detection task — and deliver the full stack: silicon, model, and integration support. If you are evaluating on-sensor intelligence for a product line, start a conversation and we will walk you through reference designs relevant to your domain.
Explore the rest of the stack
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Modular and scalable AI systems combining multiple chips, optimized for domain-specific performance and flexible deployment.
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