ChipAgents raises $60M to accelerate AI chip design, expands Nvidia partnership

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ChipAgents has secured $60 million in Series A2 funding, bringing its total raised to $134 million in under a year. The startup, which uses autonomous AI agents to automate semiconductor design and verification, is expanding its collaboration with Nvidia to develop specialized AI models. The company reports 6x growth in annual recurring revenue and deployments at over 120 semiconductor companies.

ChipAgents Secures $60 Million to Scale AI Chip Design Platform

ChipAgents has closed a $60 million Series A2 financing round, pushing its total funding to approximately $134 million in less than a year

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. B Capital led the latest investment, with participation from existing backers including Bessemer Venture Partners, Micron, MediaTek, and Ericsson . The Santa Clara-based startup, which employs about 64 people, builds AI-driven chip design software that deploys autonomous AI agents to tackle one of the semiconductor industry's most stubborn challenges: verification

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Source: Reuters

Source: Reuters

The rapid fundraising pace reflects investor appetite for agentic chip design tools that promise to compress design cycles that traditionally cost hundreds of millions of dollars and stretch across multiple years

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. ChipAgents closed a $21 million Series A last October and a $50 million round in February, signaling strong market confidence in AI agents that can execute complex engineering tasks with minimal human oversight

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Nvidia Partnership Expands to Develop Specialized AI Model for Chip Design

Earlier this week, ChipAgents announced an expanded strategic collaboration with Nvidia to develop a specialized AI model focused on chip design

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. While CEO William Wang declined to confirm whether Nvidia is an investor, the Nvidia partnership adds significant credibility in a market where the chipmaker's technology sits at the center of the AI boom

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. The association positions ChipAgents alongside established players in the EDA industry, where incumbents like Cadence and Synopsys have already integrated AI into their software and launched their own agent products

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Targeting Verification Bottlenecks to Automate Chip Design

ChipAgents sees its largest impact in semiconductor design and verification, a process that can consume more than 70% of a design project's time

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. "A big part of that is actually making sure there are no bugs," Wang told Reuters

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. The company's platform reduces design cycles by more than 50%, compressing engineering tasks that once required months or weeks into days or hours .

The startup's AI agents can read specifications, write tests, run them, and iterate without engineers managing each step

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. Wang describes agents that "read specifications, break down objectives, discuss and implement solutions, validate results and iterate relentlessly," positioning the software to execute work rather than merely assist engineers

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. The company claims its agents comprehend specifications many times faster than people and generate formal checks almost instantly, though these figures come from internal assessments

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Strong Commercial Traction Signals Market Readiness

ChipAgents reported 6x growth in annual recurring revenue during the first half of 2026, with deployments at more than 120 semiconductor companies including MediaTek and Micron . "We're enabling the industry to move beyond AI assistants toward autonomous agents that can execute meaningful engineering work," Wang said in a statement. "Our customer growth shows that semiconductor companies are ready for that shift" .

Daisy Cai, general partner at B Capital, noted that "ChipAgents has demonstrated the rare combination of breakthrough AI innovation and exceptional commercial execution," adding that the company "has translated cutting-edge AI research into a platform that customers are deploying in production" . The platform is already in production at several chipmakers, though specific performance metrics remain proprietary

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Competing in a Crowded Field of AI-Native Chip Design Tools

ChipAgents enters a market experiencing a wave of startups pitching AI at different layers of the silicon stack, from chip architecture to interconnects

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. The logic is almost recursive: AI needs ever more chips, chips are slow and costly to design using traditional methods, and so the industry is reaching for AI to design the chips that will run more AI

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The real challenge lies in building trust. For all the talk of speed, what ChipAgents must deliver is confidence that an agent's verification can be relied upon for semiconductor fabrication that costs millions

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. Established EDA vendors maintain deep relationships with every major chipmaker, and any startup promising to replace their tools must prove its agents are reliable enough to trust with production silicon

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The company plans to use the new capital to scale customer deployments, expand its engineering and go-to-market teams, and accelerate product development . As AI agents move from assisting skilled technical work to executing it autonomously, ChipAgents represents a test case for whether the technology can deliver on its promise to reshape one of the industry's most demanding processes

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