The chips that power the AI boom are notoriously slow to design. A single processor can take teams of engineers months to lay out and, more painfully, to verify. Now a two-year-old Santa Clara startup wants to hand much of that work to software agents that never sleep — and investors are betting nine figures that it can.
ChipAgents said on July 29 that it had raised an additional $60 million, an extension of its Series A that lifts the round to $134 million and brings the company's total funding to more than $134 million since it was founded in 2024. The new money was led by B Capital and drew in previous backers including Bessemer Venture Partners and a striking roster of semiconductor strategics: Micron, MediaTek and Ericsson. The company, closely associated with Nvidia through a recently expanded engineering partnership, has roughly 64 employees.
For a firm that closed a $21 million Series A only last October and a $50 million round in February, the pace is aggressive even by the standards of the current AI funding frenzy. What ChipAgents is selling is not a coding copilot but autonomous agents that, in the company's framing, do the job rather than assist the person doing it.
Aiming at the industry's most expensive bottleneck
ChipAgents operates in a corner of the semiconductor world known as electronic design automation, or EDA — the software engineers use to design and verify chips before they are committed to silicon that can cost millions of dollars to fabricate. The most expensive and time-consuming step in that pipeline is verification: proving that a chip actually does what its specification says it should. By some industry estimates, checking a design can consume more than 70% of a project's total time.
That is the bottleneck ChipAgents is aiming at. Its platform, the company says, can read a specification, break down the objectives, write the tests, run them, and iterate — without an engineer standing over each step. The company transforms specifications and code into what it calls production-ready RTL, verification assets and automated root-cause analysis, and claims the approach can cut design cycles by more than 50%.
"As the industry deals with the simultaneous pressures of increasing architectural complexity and time-to-market pressure, semiconductor companies need solutions that increase productivity, shrink time-to-market, and minimize the risk of design flaws," said William Wang, ChipAgents' chief executive and founder, an academic-turned-entrepreneur whose research roots trace to the Santa Barbara area. "We're enabling the industry to move beyond AI assistants toward autonomous agents that can execute meaningful engineering work. Our customer growth shows that semiconductor companies are ready for that shift."
That customer growth is the story investors bought into. ChipAgents says it recorded 6x growth in annual recurring revenue in the first half of 2026 and has deployed to more than 120 semiconductor companies, including named backers Micron and MediaTek — one of the larger commercial footprints for agentic AI in chip design to date.
Why this matters
The raise is a wager on a recursive logic that investors have found hard to resist: AI needs ever more chips, chips are slow and costly to design, and so the industry is reaching for AI to design the chips that will run more AI. ChipAgents is one of a wave of startups pitching AI at different layers of the silicon stack, but its focus on verification — the part engineers dread most — gives it a sharp value proposition.
The strategic investors matter as much as the dollars. When Micron, MediaTek and Ericsson put money in, it doubles as a signal that the technology is being taken seriously inside the industry, not just admired from the venture sidelines.
"ChipAgents has demonstrated the rare combination of breakthrough AI innovation and exceptional commercial execution," said Daisy Cai, a general partner at B Capital, which has more than $12 billion under management and previously backed Perplexity. "As semiconductor design grows increasingly complex, engineering teams need AI that can execute meaningful portions of the workflow, not simply assist with coding."
Micron framed it in operational terms. "ChipAgents is addressing that challenge by enabling engineers to automate advanced design and verification work, accelerate design timelines, and improve engineering productivity," said Henry Huang, an investment director at Micron's venture arm.
The obvious risk is that ChipAgents does not have the field to itself. The EDA market is dominated by Cadence and Synopsys, incumbents with deep ties to every major chipmaker and their own AI agents now bolted onto established products. A startup promising to replace those tools must prove its agents are reliable enough to trust with multimillion-dollar silicon. As TNW put it, that trust is the real product — most of ChipAgents' performance claims come from the company rather than any independent audit.
What to watch next
The most closely watched thread is the Nvidia relationship. Reuters cast ChipAgents as an Nvidia partner, and the two have expanded work on a specialized chip-engineering AI model — but Wang declined to say whether Nvidia is an investor, and the exact terms have not been spelled out. Whether that partnership deepens into equity or a full chip-design model could reshape the competitive map.
Also worth watching: whether ChipAgents' 6x ARR growth holds as it scales past 120 deployments, and how aggressively Cadence and Synopsys respond. The company says it will spend the new capital growing its engineering and go-to-market teams. The broader bet, shared across a field of AI-agent startups, is that agents will soon do skilled technical work, not merely talk about it. Chip design, where errors are measured in wasted fab runs, will be one of the hardest places to prove it.
"We're enabling the industry to move beyond AI assistants toward autonomous agents that can execute meaningful engineering work."- William Wang, CEO and Founder, ChipAgents