Architect Labs raises $24M to challenge Broadcom and Marvell with AI-powered chip design

Architect Labs Secures $24 Million Seed Funding to Disrupt Custom Chip Design

Architect Labs announced on Thursday it has raised $24 million seed funding to build an AI-powered platform that accelerates and simplifies custom chip design 1

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. The Palo Alto-based startup emerged from stealth with backing led by Kindred Ventures, joined by TQ Ventures, Race Capital, and Together Fund 2

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. Notable angel investors include Google DeepMind Chief Scientist Jeff Dean, along with executives from OpenAI and Nvidia, signaling strong industry confidence in the venture .

The company directly targets the lucrative custom chip business dominated by Broadcom and Marvell, who design bespoke AI accelerators and general-purpose computing chips for cloud giants like Amazon and Alphabet's Google. These custom chips generate tens of billions of dollars in revenue annually and serve as alternatives to Nvidia's hardware 1

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Tackling the Time and Cost Barriers in the Semiconductor Industry

Current custom chip design takes roughly two years and costs hundreds of millions of dollars in labor costs and research and development 1

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. Architect Labs aims to dramatically reduce both timelines and expenses by using AI-powered tools to handle the design and verification process from end to end 2

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Co-founder Ebrahim Hussain explained that the biggest challenge isn't backend execution or layout. "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," Hussain told Reuters 1

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. Rather than bolting AI agents onto decades-old design workflows, Hussain wants to rebuild the process from scratch with AI as a "first-class actor" 2

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Vision for a Designless Semiconductor Industry

Co-founder Aaditya Subedi articulated an ambitious goal: to make chip design as accessible as Taiwan's TSMC has made chip manufacturing . The company envisions a "designless semiconductor industry" where organizations no longer need to become chip companies or bet a decade on one architecture 2

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. Instead, they simply bring their workload and receive the silicon to run it.

The startup plans to target both chip companies seeking to accelerate their design process and software companies that could use custom chips to make applications run faster or more efficiently 1

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. This approach addresses growing demand from AI labs, hyperscalers, and robotics makers who want chips tuned to AI and robotics workloads, as off-the-shelf hardware can no longer keep pace 2

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Experienced Team with Production Track Record

The 18-person team splits between machine learning and hardware expertise 1

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. Ebrahim Hussain skipped high school, started college at 15, and worked on custom chips at Apple and Tesla. Aaditya Subedi researched AI code verification at Harvard before the two met at Stanford and dropped out to launch the company 2

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Collectively, the team has taped out more than 80 production chips and includes alumni from Intel, Meta's custom-silicon work, and machine-learning teams at Anthropic, Google DeepMind, and xAI 2

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. The company reports it has already deployed with semiconductor partners and expects AI-generated designs to tape out on leading-edge nodes later this year 2

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What This Means for AI Custom Chip Design

The new funding will scale compute resources, deepen research, and fund co-design with early partners 2

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. If successful, Architect Labs could transform how companies approach custom hardware, creating a tighter loop where models, software, and hardware improve together. This matters particularly as AI models advance dramatically across nearly every field while chip development cycles remain slow and expensive 2

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. The ability to rapidly design custom silicon could accelerate innovation in AI applications, making specialized hardware accessible to a broader range of companies beyond tech giants with massive R&D budgets.