Cognichip Unveils AI-Driven Chip Development to Accelerate Semiconductor Innovation

Chips are vital to the AI industry, yet their development lags behind the rapid pace of new AI models and products.
Cognichip aims to revolutionize chip design with a foundational AI model to expedite market delivery.
Based in San Francisco, Cognichip is developing a physics-informed AI model to streamline semiconductor companies' chip development processes. Dubbed "artificial chip intelligence," this approach seeks to cut production times by 50% and lower costs significantly.
The vision stems from Faraj Aalaei, a semiconductor industry veteran with experience at Fujitsu Network Communications and Centillium Communications.
Aalaei shared with TechCrunch that Cognichip’s journey began in 2015. As a Silicon Valley Leadership Group member, he discussed industry challenges with peers.
He raised alarms about the semiconductor sector’s decline, noting venture capital investments in chip companies plummeted from 200 deals annually in 2000 to just one or two by 2015.
“I warned fellow CEOs this trend threatens our industry,” Aalaei said. “Without change, we risk losing competitiveness and the innovation that drives new ideas.”
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Given the slow pace of chip development, Aalaei noted the lack of investor interest was unsurprising. He mulled over the idea for nearly a decade.
In 2016, he launched Candou Ventures, observing the surge in AI startups. Recognizing generative AI’s potential to address semiconductor challenges, he founded Cognichip in 2024.
Operating in stealth, Cognichip assembled a team of AI specialists from Stanford, Google, and MIT. Aalaei said achieving peak model performance will take years, but it can aid companies sooner.
“Our artificial chip intelligence will emulate an expert engineer,” Aalaei said. “Once realized, it will drastically reduce workforce needs and development time.”
Cognichip has emerged from stealth with $33 million in seed funding, co-led by Lux Capital and Mayfield, with FPV and Candou Ventures joining.
Navin Chaddha, Mayfield’s managing partner, told TechCrunch he connected with Aalaei’s vision. With human-driven processes dominating chip design, he believes AI integration is timely.
“This addresses a critical industry pain point,” Chaddha said. “It’s a game-changer for a trillion-dollar sector facing talent shortages, led by a stellar team.”
Aalaei hopes Cognichip will democratize chip design, enabling more startups to secure funding and allowing smaller firms to create specialized chips for niche models.
Success hinges on achieving artificial chip intelligence.
“We’re not making small tweaks,” Aalaei said. “We’re setting a bold new standard for the industry, driving transformative change.”
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Chips are vital to the AI industry, yet their development lags behind the rapid pace of new AI models and products.
Cognichip aims to revolutionize chip design with a foundational AI model to expedite market delivery.
Based in San Francisco, Cognichip is developing a physics-informed AI model to streamline semiconductor companies' chip development processes. Dubbed "artificial chip intelligence," this approach seeks to cut production times by 50% and lower costs significantly.
The vision stems from Faraj Aalaei, a semiconductor industry veteran with experience at Fujitsu Network Communications and Centillium Communications.
Aalaei shared with TechCrunch that Cognichip’s journey began in 2015. As a Silicon Valley Leadership Group member, he discussed industry challenges with peers.
He raised alarms about the semiconductor sector’s decline, noting venture capital investments in chip companies plummeted from 200 deals annually in 2000 to just one or two by 2015.
“I warned fellow CEOs this trend threatens our industry,” Aalaei said. “Without change, we risk losing competitiveness and the innovation that drives new ideas.”
Join TechCrunch Sessions: AI
Reserve your spot at our premier AI event featuring speakers from OpenAI, Anthropic, and Cohere. For a limited time, tickets are $292 for a full day of expert talks, workshops, and networking.
Exhibit at TechCrunch Sessions: AI
Showcase your innovation to 1,200+ decision-makers at TC Sessions: AI. Secure a table by May 9 or while supplies last.
Berkeley, CA | June 5
REGISTER NOW
Given the slow pace of chip development, Aalaei noted the lack of investor interest was unsurprising. He mulled over the idea for nearly a decade.
In 2016, he launched Candou Ventures, observing the surge in AI startups. Recognizing generative AI’s potential to address semiconductor challenges, he founded Cognichip in 2024.
Operating in stealth, Cognichip assembled a team of AI specialists from Stanford, Google, and MIT. Aalaei said achieving peak model performance will take years, but it can aid companies sooner.
“Our artificial chip intelligence will emulate an expert engineer,” Aalaei said. “Once realized, it will drastically reduce workforce needs and development time.”
Cognichip has emerged from stealth with $33 million in seed funding, co-led by Lux Capital and Mayfield, with FPV and Candou Ventures joining.
Navin Chaddha, Mayfield’s managing partner, told TechCrunch he connected with Aalaei’s vision. With human-driven processes dominating chip design, he believes AI integration is timely.
“This addresses a critical industry pain point,” Chaddha said. “It’s a game-changer for a trillion-dollar sector facing talent shortages, led by a stellar team.”
Aalaei hopes Cognichip will democratize chip design, enabling more startups to secure funding and allowing smaller firms to create specialized chips for niche models.
Success hinges on achieving artificial chip intelligence.
“We’re not making small tweaks,” Aalaei said. “We’re setting a bold new standard for the industry, driving transformative change.”











