📝 Cognichip raises $93M

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Cognichip, a Silicon Valley startup, has emerged from stealth with a $93 million total war chest to tackle the "ruinous" expense and complexity of semiconductor design. By deploying a deep learning model trained specifically on chip architecture rather than general-purpose code, Cognichip claims it can slash development costs by 75% and cut the traditional two-to-five-year design timeline by more than half. The company recently secured $60 million USD in new funding led by Seligman Ventures, notably bringing Intel CEO Lip-Bu Tan onto its board. To overcome the industry's extreme secrecy regarding intellectual property, Cognichip utilizes a mix of licensed partner data, synthetic datasets, and open-source architectures like RISC-V. While the firm faces stiff competition from established giants like Synopsys and heavily funded rivals like Ricursive (which raised $300 million USD in January), its "physics-aware" approach aims to automate the placement of billions of transistors—a task currently demanding years of manual engineering.

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