Architect Labs announced that it has emerged from stealth with $24 million in seed funding. The round was led by Kindred Ventures, with participation from TQ Ventures, Race Capital, Together Fund, and several investors and executives across modern computing and AI. Kindred Ventures founder and managing partner Steve Jang has joined Architect Labs’ board.
Architect Labs is building an AI system designed to accelerate custom silicon development. The company is focused on helping organizations turn demanding workloads into purpose-built chips and full-stack silicon solutions.
The company said the rapid growth of AI has changed the economics of hardware infrastructure, as general-purpose hardware struggles to meet rising demand for specialized compute, advanced networking, and high-speed connectivity. Architect Labs said this demand is expanding beyond data centers into robotics, autonomous systems, spatial computing, defense, personal devices, and wearables.
Chip design remains highly complex and expensive, often requiring years of development, significant investment, and scarce technical expertise. Architect Labs is aiming to reduce those barriers by making advanced chip design more accessible to companies, AI labs, and nations that need specialized hardware but do not want to become chip companies themselves.
The company describes its approach as enabling a “designless semiconductor industry,” where organizations can access world-class chip design capabilities based on their workloads without making long-term architecture bets or taking on the full risk of a failed tape-out.
Over time, Architect Labs plans to expand its AI system across the broader computing stack, including compilers, runtimes, system software, and eventually AI model co-optimization. The company said moving chip design closer to software development timelines could allow models, architectures, and silicon to be optimized together.
Architect Labs was founded by Ebrahim Hussain and Aaditya Subedi. Hussain previously worked on custom chips at Apple and Tesla, while Subedi was an AI researcher at Harvard focused on AI-based code verification. The two met at Stanford, where their research focused on AI systems for chip design and verification.
The company’s team includes frontier AI researchers, former professors, chip designers, and systems engineers from organizations including Anthropic, DeepMind, xAI, Meta, Google, and Intel. Collectively, the team has taped out more than 80 production chips, led major product lines, contributed to custom silicon projects, and worked on AI research across frontier labs.
Architect Labs plans to use the funding to scale its compute infrastructure, deepen its AI research, and co-design production silicon with early industry partners.
KEY QUOTES:
“AI models have advanced dramatically across nearly every field, yet chip development cycles remain equally slow and painful. Unlocking AI-first semiconductor design requires a first-principles rethink of the entire design process, not forcing AI agents into workflows that were never built for them.”
Ebrahim Hussain, Co-Founder of Architect Labs
“We are just now entering into an era of custom chips for various systems and workload types. To achieve this ideal diversity of AI infrastructure, research labs, software platforms, robotics makers, and cloud operators all need to be able to iterate on novel chip hardware at the same pace and creativity as model development. Using AI for chip co-design, Architect Labs proposes to deliver on this vision of ultra-low latency, energy-efficient, and affordable intelligence at scale.”
Steve Jang, Founder of Kindred Ventures
