Read the specification
Read the performance targets and the trade-offs between them.
Turn experienced engineers’ judgment into a specialist model, designed to learn and work inside your environment.
Explore your workflow
The specialist proposes a circuit change from the specification and observed expert reasoning.
Read the performance targets and the trade-offs between them.
Choose a circuit change and predict its effect.
Test every target and see what improved or broke.
Use the results to guide the next attempt.
Begin with the targets and the trade-offs between them.
The model learns from expert attempts and their results. Proposals face design-rule checks and real simulation. In this evaluation, a frontier model helped when the specialist stalled. Wins ranked targets met first, then external tokens as a tiebreaker.
Run with a named partner engagement. Internal and not independently audited.
All 11 targets satisfied. The frontier baseline satisfied seven.
The evaluated system permitted frontier fallback when progress stalled. Company-reported simulator evaluation; equal iteration budgets. Total tokens and external billed tokens are different measures.
held-out circuits won head to head
Run with a named partner engagement. Internal and not independently audited.
design targets met, versus 124
Run with a named partner engagement. Internal and not independently audited.
full-spec convergence
Run with a named partner engagement. Internal and not independently audited.
Using external AI can expose sensitive circuit data and add usage costs with every attempt. Both matter in semiconductor design.
The goal is to run the full design and testing loop in your environment. The reported evaluation still used a frontier fallback; four of ten circuits needed no external model call.
Preserve how experts test ideas, interpret results and recover from mistakes.
Designed to keep the full loop where your circuit data lives.
Running your own specialist is intended to reduce reliance on external, usage-based AI.
Verified attempts provide examples for the next training cycle.