Caffeinated Capital Leads Astrus’ $12M Series A for Chip Design
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Astrus has closed a $12 million USD ($16 million CAD) Series A. San Francisco-based Caffeinated Capital led the round, with backing from Khosla Ventures, Garage Capital, MVP Ventures and RiSC Capital.
The startup operates out of Toronto and Kitchener-Waterloo. Co-founder and CEO Brad Moon leads a team building an AI system that uses reinforcement learning to handle the physical design of integrated circuits.
The product is aimed at analog designers, the engineers who take logic and intent requirements and convert them into physical layouts ready for manufacturing. Most AI companies working on chip design tools concentrate on the logic side of the process. Astrus is going after the physical side instead, where designs have to account for three-dimensional silicon, physics and simulation.
The decision to use reinforcement learning rather than large language models came down to data. Plenty of public logic design data exists to train language models, but physical design data is closely guarded by the companies that produce it. Astrus worked with some of the largest leading-edge foundries to learn their manufacturing requirements, then used reinforcement learning to generate synthetic training data inside a physics environment that understands those rules.
The global integrated circuit market is estimated at more than $800 billion this year, with hyperscalers, AI platforms and consumer goods all driving demand for new components. Astrus is preparing to launch its product in October, and the new funding will support that launch and a larger team. The company expects its potential customers to include major semiconductor manufacturers, and it is looking at collaborations with companies that build logic design tools.
Astrus intends to stay in Canada, though it may set up a go-to-market team in the United States.
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