INDUSTRY
Semiconductor / OEM
A faster, evidence-backed path from workload to architecture.
THE CHALLENGE
What makes this hard
A long, high-risk path
Going from workload requirements to a fab-ready design traditionally takes years, with a lot riding on each decision.
Decisions need evidence
Roadmap bets are hard to defend on a single simulation run or a vendor's benchmark.
Trusted partners are scarce
Teams building in India need a domestic design partner that keeps IP and design files in the country.
USE CASES
Where silicon makes the difference
New AI SoC definition
Architecture exploration and system modelling for a new product line.
Accelerator IP
A workload-matched accelerator block to integrate into your own SoC.
Pre-tapeout validation
Independent FPGA validation before you commit to a fabrication run.
Packaging and test
A partner for assembly and test as our Uttar Pradesh line comes online.
WHERE PATHINAI FITS
Each stage, applied to semiconductor / OEM
Workload Intelligence
Replaces assumed requirements with a measured fingerprint.
Virtual Silicon
Models full systems so integration issues surface early.
Architecture Explorer
Produces a decision record your team can defend.
Pre-Silicon Validation
De-risks the commit point with FPGA proof.
Manufacturing
Available as an execution partner, not just an internal line, in phases.
HOW TO START
Three ways in, depending on where your semiconductor / OEM programme is today
NOT SURE YET
AI Silicon Assessment
Find out whether custom silicon is worth pursuing before you commit budget.
Start with an assessment →
READY TO DEFINE
Virtual SoC
See the full system modelled and stress-tested against your workload.
Model your SoC →
READY TO BUILD
Custom AI Accelerator
Start from Clean Future CF-1 or design an accelerator around your workload.
Build an accelerator →
Talk to us about semiconductor / OEM
Tell us what your semiconductor / OEM product needs to run, and the budget it has to run on.
Talk to us
— From AI to Silicon
© [Year] PathinAI Technologies Private Limited