Cognichip Secures $60M to Revolutionize Chip Design with AI, Led by Seligman Ventures

April 1, 2026
Cognichip Secures $60M to Revolutionize Chip Design with AI, Led by Seligman Ventures
  • Cognichip plans to broaden enterprise deployments and advance its platform to re-architect semiconductor development for the AI era, including stronger production-ready integration.

  • A new Series A funding round, totaling $60 million led by Seligman Ventures with participation from Lux Capital, Mayfield, FPV, Candou Ventures, SBI Investment and Intel CEO Lip-Bu Tan, will accelerate Cognichip’s AI-powered chip-design platform and expand its engineering team.

  • The investment signals growing investor confidence that AI-driven approaches can manage the complexity of semiconductor design and streamline workflows across the industry.

  • Founded in 2024, Cognichip has built a proprietary dataset and technical team and is engaging with more than 30 semiconductor companies, reporting measurable workflow improvements.

  • The funding round was led by Seligman Ventures, with participation from multiple investors including existing backers.

  • Its physics-informed foundation model integrates datasets, models, and infrastructure to boost efficiency, with claimed potential reductions of up to 75% in design costs and up to 50% faster development timelines.

  • Demonstrations have showcased progress, including a hackathon with San Jose State University where students designed CPUs based on RISC-V using Cognichip’s model.

  • The Series A was publicly announced on the first of April, 2026, noting Cognichip’s foundation in 2023.

  • Cognichip differentiates itself by training its model on domain-specific data and by enabling secure training on a customer’s proprietary data, using synthetic or licensed datasets as needed without exposure.

  • Lip-Bu Tan joined Cognichip’s board as a new investor participant in the round.

  • Cognichip has not yet publicly disclosed specific customers or a completed chip designed with its system.

  • Umesh Padval of Seligman emphasizes AI-enabled parallelization of the traditionally serial chip design process, aiming for production-ready integration via physics-informed models.

Summary based on 5 sources


Get a daily email with more Tech stories

More Stories