Custom silicon for the edge AI wave.
Bring an algorithm and a power budget. We hand back a tape-out plan. Architecture exploration, automated SoC integration, accelerated verification — application in, silicon out.
Three tools. One arc.
Architectural convergence.
Above RTL. Where leverage lives. DeVign slides from intent to register-level.
SoC integration.
XACT-Forge wires it up. Verilog and SystemVerilog in. IP-XACT 1685 out.
Verification acceleration.
VerifAi writes the testbench. One spec in. Four artefacts out.
Where the silicon lands.
Industrial vision.
Inspection lines. Defect classification. Frame-rate budgets that don't slip.
Robotics & autonomous machines.
Onboard inference. Latency budgets in milliseconds, not frames.
Smart cameras · multimodal perception.
RGB, depth, radar, audio. Fused on one die.
Medical & point-of-care.
Bedside inference. Power envelopes measured in single-digit watts.
Drones & mobile edge.
Battery-bound compute. Inference per joule, not per second.
Specialised automation & inspection.
Long-tail verticals. Workloads off the GPU roadmap.
Edge AI is fragmented. Silicon must adapt.
Standard SoCs leave value on the table.
Generic compute under-serves the workload. Power, latency, and unit cost drift the wrong way.
Custom silicon used to cost too much.
80–120 person-months of verification. Teams that won't scale. Schedules that won't hold.
The arc closes here.
Three tools compress the loop. Engineers who shipped silicon run every program.
Numbers from customer projects.
Bring an application.
We'll parse the subsystem on the call.
One subsystem, one hour. Engineering attends.