Architect Labs said it raised $24 million in a seed funding round to build a business that leverages artificial intelligence to make the design of custom chips faster and less costly.
The Palo Alto, California-based startup intends to tackle the lengthy, expensive process of creating application-specific architectures that now typically requires roughly two years and hundreds of millions of dollars in labor and research and development.
Large chip design firms such as Broadcom and Marvell currently help cloud providers and hyperscalers - including Amazon and Alphabet’s Google - develop custom AI and general-purpose computing chips. The custom silicon produced via those relationships generates tens of billions of dollars in revenue and serves as an alternative to Nvidia’s high-performance hardware.
Architect Labs says its technology will aim to reduce both the calendar time and the cost associated with translating a workload into chip architecture. The company plans to market its tools to traditional chip companies to speed their internal design cycles and also to software firms that may seek custom chips to improve the speed or efficiency of their applications.
Co-founder Ebrahim Hussain described the problem he and his co-founder set out to address: "Their biggest problem today is not necessarily the backend execution or the layout," he said. "Their biggest thing is how can I take this workload that I want to deliver to the world, whether it be AI or robotics or anything like that, and how can I build the (chip) architecture."
Architect Labs was founded by Hussain and Aaditya Subedi. The company has about 18 employees split between machine learning and hardware engineering, according to the founders.
Subedi framed the company’s ambition as making the design of chips more accessible - analogous to how Taiwan’s TSMC has made manufacturing widely available to chip developers.
The seed round was led by Kindred Ventures and included TQ Ventures, Race Capital, and Together Fund. Individual investors in the round include Google DeepMind Chief Scientist Jeff Dean and executives from OpenAI and Nvidia.
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Architect Labs’ strategy targets two groups of potential customers: incumbent chip design partners that want to shorten development cycles, and software companies seeking custom silicon to improve application performance. The founders emphasize architecture-level decisions rather than backend layout as the core bottleneck they intend to address.
At this stage, the company remains early and focused on product development and customer traction, with seed capital from a mix of institutional venture firms and high-profile industry executives supporting its next phase of work.
Key points
- Architect Labs raised $24 million in seed funding to develop AI-driven tools for custom chip architecture.
- The startup targets both traditional chip design firms and software companies that could benefit from bespoke silicon.
- Funding was led by Kindred Ventures and included TQ Ventures, Race Capital, Together Fund, and individual investors such as Jeff Dean and executives from OpenAI and Nvidia.
Risks and uncertainties
- The chip design process is currently lengthy and capital intensive - roughly two years and hundreds of millions of dollars - creating a high bar for establishing a faster, lower-cost alternative; this affects the semiconductor and cloud infrastructure sectors.
- Established custom-design players like Broadcom and Marvell already serve major cloud customers and capture tens of billions in revenue, representing significant competitive pressure in the custom silicon market.
- Architect Labs is an early-stage company with about 18 staffers, which could present scaling and execution challenges relative to incumbent firms in semiconductors and hardware engineering.