Read the specification
Gain, bandwidth, phase margin, power, noise and stability trade off against each other.
Twenty years of engineering judgment, captured in the loop between hypothesis and simulation. A specialist model designed to learn and operate inside your perimeter.
Explore your workflow
The specialist proposes a circuit change from the specification and observed expert reasoning.
Gain, bandwidth, phase margin, power, noise and stability trade off against each other.
Choose which device parameter to touch and predict the effect before editing the netlist.
Simulate every target, read the measurements and find what the change broke.
Carry the reasoning, not just the final circuit, into the next attempt.
Begin with the targets and the trade-offs between them.
Expert optimization runs become replayable reasoning traces: hypothesis, proposed change, prediction, simulation, correction. Every proposal is scored with a deterministic manufacturability check and a real circuit simulation. The evaluated system uses a frontier fallback when the specialist stalls. Wins rank 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.
Frontier models can drive optimization, but every iteration sends sensitive circuit data to an external provider and incurs variable per-token cost. In semiconductors that is a structural blocker.
The deployment target is the complete optimize, simulate and evaluate loop inside the customer perimeter. The reported evaluation used a specialist-led system with frontier fallback when progress stalled; four of ten circuits completed without an external model call.
Hypotheses, actions, outcomes and recoveries remain useful after an expert moves on.
The deployment target keeps the full loop where the circuit data already lives.
Self-hosted iteration replaces per-token billing. The next thousand attempts are cheap at the margin.
New reasoning traces feed the next training cycle, quarter after quarter.