Cognichip Raises $60M to Use AI for Designing AI Chips

Apr 2, 2026

AI chip design startup Cognichip raised $60 million in funding led by Seligman Ventures on April 1, 2026, bringing its total funding to $93 million since founding in 2024. The company is building a deep learning model to assist engineers in designing computer chips, claiming it can reduce development costs by over 75% and cut timelines by more than half in an industry where advanced chips take three to five years from conception to mass production. Intel CEO Lip-Bu Tan participated in the round and will join Cognichip's board, lending industry credibility despite the company having no completed chip designs yet as of April 2026. Cognichip faces competition from incumbents Synopsys and Cadence Design Systems, as well as well-funded AI chip design startups like Ricursive ($300M Series A) and ChipAgents ($74M extended Series A).

Cognichip's AI-powered chip design solution and funding

▪Umesh Padval, a managing partner at Seligman Ventures, will join Cognichip's board.
▪Cognichip raised $60 million in new funding led by Seligman Ventures on April 1, 2026.
▪Cognichip has been collaborating with customers since September 2025.
▪Cognichip has raised $93 million altogether since its founding in 2024.
▪Cognichip cannot yet point to a new chip designed with its system as of April 2026.
▪Cognichip's technology can reduce the cost of chip development by more than 75%, according to CEO Faraj Aalaei.
▪Cognichip is building a deep learning model to work alongside engineers as they design new computer chips.
▪Intel CEO Lip-Bu Tan participated in Cognichip's $60 million funding round and will join Cognichip's board.

Challenges in traditional semiconductor design processes

▪The chip design phase alone can take as long as two years before physical layout begins.
▪Nvidia's Blackwell GPU line contains 104 billion transistors.
▪Chip design is enormously complex, ruinously expensive, and slow.
▪Advanced chips take three to five years to go from conception to mass production.

Training data acquisition and competitive landscape

▪Cognichip is competing against incumbent players Synopsys and Cadence Design Systems.
▪Ricursive raised a $300 million Series A round in January 2026.
▪Electrical engineering students at San Jose State University used Cognichip's model to design CPUs based on the RISC-V open source chip architecture in a hackathon in 2025.
▪Cognichip has developed its own datasets, including synthetic data, and licensed data from partners.
▪ChipAgents closed a $74 million extended Series A in February 2026.
▪Cognichip uses its own model trained on chip design data rather than starting with a general-purpose LLM.

Perspective of Seligman Ventures and investors

▪Intel CEO Lip-Bu Tan's personal participation in Cognichip's funding round signals high-level industry validation of the technology.
▪Seligman Ventures managing partner Umesh Padval is taking a board seat at Cognichip following the $60 million investment.