Chip design is the last major engineering workflow AI agents haven't truly touched. Verification eats most of the effort, talent is scarce, and the tools are slow to change. Nexeda exists to make "is this design correct?" something an agent can answer — and fix.
60–70% of a chip project is spent proving correctness — the part most AI tools skip.
Demand for design & verification engineers far outstrips supply. Teams need leverage, not more headcount.
Capable coding agents, production-grade open simulators, and a clear gap the incumbents are slow to fill.
Engineers don't hand over their chips on day one. So Nexeda starts as a review-and-verification copilot — low liability, high trust — and grows into generation once the loop and the dataset have earned it.
FPGA-first, because specs are cleaner and correctness is checkable end-to-end. Humans stay in the loop; full autonomy is the destination, not the launch claim.
A deliberate path from a trusted copilot to autonomous, timing-aware design.
Review, verify and generate for standard FPGA blocks on the open toolchain, with a benchmark proving convergence. Live today in the Playground.
Ship review/verify to real teams, grow the benchmark to ~20 blocks, and measure bug-find rate and time-saved on real RTL.
Full place-and-route with timing-driven iteration and XDC generation on a dedicated worker; self-hosted deployment for IP-sensitive customers; formal checks.
Multi-module scope and the ASIC flow — pushing toward higher autonomy as the dataset and trust compound.
Proprietary spec → RTL → bug → fix traces from every run.
Robust log/waveform parsing and repair that actually converges.
Verification-first adoption inside real engineering flows.
Running where the IP lives — a requirement, not a feature.
Whether you're an engineer who wants to try it, a design team exploring a pilot, or just curious — get in touch.