Cognichip has raised $60 million on a provocative thesis: use artificial intelligence to design better AI chips. Co-founders Ahmed Khan and Lisa Chen are attacking the bottleneck that sits beneath the entire AI industry — the silicon that makes large-scale training and inference possible.
The company’s bet is that AI-assisted chip design can compress development cycles from years to months, while exploring architectural search spaces that human engineers cannot traverse at scale.
At $60 million the raise is modest relative to the ambition, but in a sector dominated by TSMC, NVIDIA, and ASML, the most credible path to relevance is producing a tool that incumbents want to license rather than build themselves.
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