ChipAgents, a startup developing agentic artificial intelligence platforms for semiconductor design, has expanded its Series A financing to $134 million after securing an additional $60 million, as demand grows for AI tools capable of automating complex chip design and verification tasks.
The latest investment comes just six months after the company’s initial Series A close and adds new investor B Capital to an existing group that includes Micron Technology (Nasdaq: MU), MediaTek, Ericsson (Nasdaq Stockholm: ERIC B), Bessemer Venture Partners, ScOp and other backers.
The funding follows a period of rapid commercial growth for the company. ChipAgents said it recorded a sixfold increase in annual recurring revenue (ARR) during the first half of 2026 and has deployed its platform at more than 120 semiconductor companies, including MediaTek and Micron.
Founded in 2024, ChipAgents has now raised more than $134 million, with the new capital earmarked for expanding customer deployments, growing engineering and commercial teams, and accelerating development of its AI-native semiconductor design platform.
The announcement reflects growing investor interest in AI technologies tailored for electronic design automation (EDA), where semiconductor companies are increasingly seeking ways to manage rising design complexity and shorten product development cycles.
Unlike conventional AI coding assistants that provide recommendations to engineers, ChipAgents develops domain-specific AI agents capable of autonomously planning and executing multi-step semiconductor design and verification workflows.
According to the company, these AI agents can automate engineering activities that traditionally require weeks or months of manual effort, reducing development timelines to days or even hours in certain workflows.
“ChipAgents has demonstrated the rare combination of breakthrough AI innovation and exceptional commercial execution,” said Daisy Cai, General Partner at B Capital. “As semiconductor design grows increasingly complex, engineering teams need AI that can execute meaningful portions of the workflow, not simply assist with coding.”
Existing investors also pointed to the increasing complexity of semiconductor development as a key driver behind continued investment.
“Semiconductor engineering teams face rising pressure to deliver more sophisticated designs in less time,” said Henry Huang, Investment Director of Venture Capital at Micron. “ChipAgents is addressing that challenge by enabling engineers to automate advanced design and verification work, accelerate design timelines and improve engineering productivity.”
Brian Hsu, Managing Director of the MediaTek Innovation Fund, said the company believes ChipAgents is helping reshape semiconductor engineering by delivering measurable productivity gains across chip design and verification workflows.
The investment comes as semiconductor companies face mounting pressure to develop increasingly advanced processors for artificial intelligence, data centres, automotive electronics and edge computing while managing escalating engineering costs and tighter product launch schedules.
AI has become an area of intense investment across the semiconductor industry, with recent announcements from major EDA vendors highlighting autonomous engineering agents capable of assisting or executing parts of the chip development process. Rather than functioning solely as coding copilots, these systems are increasingly being designed to perform broader engineering tasks with limited human intervention.
ChipAgents said its platform is intended to help engineering teams scale productivity by automating design and verification activities that have traditionally depended on manual expertise.
“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 minimise the risk of design flaws,” said William Wang, Chief Executive Officer and founder of ChipAgents.
The company said the additional funding will support the next phase of product development and global expansion as semiconductor manufacturers increasingly adopt AI-native workflows to improve engineering efficiency and accelerate the delivery of next-generation chips.
