INDUSTRY
ADAS and in-cabin AI within tight power, thermal, and safety budgets.
THE CHALLENGE
Sealed modules with little or no airflow leave no room for silicon that wastes watts.
Safety requirements such as ISO 26262 shape the architecture from the start — a failure mode has real consequences.
Vehicles stay on the road for a decade or more, so parts must be supported and qualified for the long haul.
USE CASES
Drowsiness and distraction detection that runs continuously inside the cabin.
Multi-camera perception for low-speed manoeuvres.
Occupant detection, gesture, and voice processed on the device.
Combining camera, radar, and other inputs for driver assistance.
WHERE PATHINAI FITS
Workload Intelligence
Profiles real driving-scenario inference loads instead of generic benchmarks.
Virtual Silicon
Models power and thermal behaviour under sustained load, not short bursts.
Architecture Explorer
Weighs safety-margin trade-offs explicitly alongside performance.
Pre-Silicon Validation
Proves the design on FPGA with real sensor data before tapeout.
Manufacturing
A qualified path to packaged, tested units as our line comes online.
CLEAN FUTURE CF-1
CF-1 is designed for in-cabin and perception workloads where power and heat are tightly budgeted.
HOW TO START
NOT SURE YET
Find out whether custom silicon is worth pursuing before you commit budget.
Start with an assessment →
READY TO DEFINE
See the full system modelled and stress-tested against your workload.
Model your SoC →
READY TO BUILD
Start from Clean Future CF-1 or design an accelerator around your workload.
Build an accelerator →
Tell us what your automotive product needs to run, and the budget it has to run on.
Talk to us— From AI to Silicon
© [Year] PathinAI Technologies Private Limited