EDA has become a tool-management problem. Vyges gives your team one interface — driven by any AI model — so engineers work on the chip, not on a dozen tool dialects.
AI is collapsing the value of tool expertise. Here's what that changes.
Every sign-off tool speaks its own dialect — its runsets, its quirks, its decades of accumulated flags. So teams are hired as a PrimeTime person, a Calibre person, an Innovus person — specialists in a tool, not in the chip. The expertise that gets bought and priced is "can you drive this tool," not "can you close this chip."
That is expensive, scarce, and brittle — and a barrier to everyone outside the incumbents.
Today, you hire
a PrimeTime engineer
a Calibre engineer
an Innovus engineer
Tomorrow, you hire
a Chip Engineer
The AI drives the tools.
A model reasons about the design; Vyges executes it — driving the sign-off engines through one interface (vyges mcp), locally, whichever model you bring. You express intent — "close timing," "fix these DRC violations" — not which of fourteen tools, and which flags.
The tools still run underneath — you no longer have to be their operator. Your engineers are freed to work on the chip, not the toolbox.
AI‑native silicon engineering — bring any model, run it locally, and ship silicon in weeks.