Cognichip Raises $60M Series A to Automate Semiconductor Design With AI

The Redwood City startup’s physics-informed model aims to achieve 75% cost reduction and 50% timeline compression in chip development, drawing Intel CEO Lip-Bu Tan to the Cognichip board.

Cognichip announced a $60 million Series A financing on April 1, led by Seligman Ventures and including participation from SBI Investment, a Japan-based firm. The round brings the company’s total funding to $93 million and adds two semiconductor veterans to its board of directors. 

Intel CEO Lip-Bu Tan, who participated in the round as an individual investor, joins Cognichip’s board alongside Umesh Padval, managing partner at Seligman Ventures and a former semiconductor company chief executive. Tan previously served on the boards of Aquantia and Centillium Communications, both under Cognichip founder and CEO Faraj Aalaei, companies that each completed initial public offerings. 

All seed investors, including Mayfield, Lux Capital, FPV, and Candou Ventures, participated above their pro rata allocations, a signal that the round was oversubscribed. 

Founded in 2024, Cognichip is developing what it calls ACI, or Artificial Chip Intelligence, a purpose-built AI system trained on chip design, verification, and manufacturing data. The company says its model reduces semiconductor development costs by 75% and compresses design timelines by 50%. It is currently engaged with more than 30 semiconductor companies, including several of the top 20 by revenue, across digital, analog, mixed-signal, and foundry segments.

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The move comes as chip complexity and development costs continue to climb. Advanced semiconductors such as Nvidia’s Blackwell GPU, which contains 104 billion transistors, require three to five years from design to mass production. Cognichip argues that the timeline creates a structural mismatch between AI software development cycles and the hardware needed to run them.

The semiconductor industry is at a critical juncture; an AI framework for innovation and efficiency will unlock massive global opportunity. Success in this space requires a rare fusion of deep domain expertise combined with advanced AI research and an end-to-end integrated design approach.
  Intel CEO Lip-Bu Tan.

The next wave of progress to significantly reduce the chip design cycles will not come from incremental optimization of existing design tools, but from using AI to parallelize what has historically been a highly serial chip design process.
Umesh Padval, Managing Partner at Seligman Ventures and a former semiconductor company Chief Executive.

SBI Holdings chairman and CEO Yoshitaka Kitao said his firm expects ACI to reduce chip design costs by as much as 75% and cut timelines by 50%, consistent with Cognichip’s own projections. SBI’s existing portfolio includes Preferred Networks, Tenstorrent, and EdgeCortix. 

Cognichip’s technical team pairs chip architects with AI researchers, including competition medalists in mathematics and physics, according to the company’s announcement. The approach distinguishes ACI from agent-based tools built atop general-purpose large language models; Cognichip says its system operates as a full-stack, physics-informed design platform rather than a wrapper on existing models. It is unclear when Cognichip plans to publicly disclose a commercially produced chip designed entirely by its system.

The company competes in a segment where incumbents Synopsys and Cadence Design Systems hold established positions, and well-funded startups including ChipAgents and Recursive have also entered the AI-assisted chip design space. Cognichip is headquartered in Redwood City, California. 

Disclaimer: This reporting is based on publicly available reports, including the official press release from Cognichip.Nervnow has not independently verified the claims.

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