Architect Labs Raised $24M in Seed Funding Led by Kindred Ventures

The round also saw participation from TQ Ventures, Race Capital, Together Fund, Srinivas Narayanan, Lukasz Kaiser, Aravind Srinivas, Kunle Olukotun, Trevor Blackwell, Dr. Alex Wissner-Gross, Shaad Khan and other executives from NVIDIA, Google, OpenAI, and more.

The company plans to use the funds to expand its computing infrastructure, advance its AI research, and work with early partners to develop production-grade silicon together.

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Architect Labs is developing an AI system that helps design custom chips and full silicon solutions for organizations that need more than standard hardware can offer.

The company works with businesses, AI labs, and governments to turn complex workloads into purpose-built chips, helping speed up chip development timelines significantly.

Two decades ago, the fabless model changed the industry by allowing companies to design chips without owning manufacturing facilities, while TSMC made high-quality chip production widely accessible.

Architect Labs aims to do the same for chip design. It wants to make world-class chip design available based on specific workloads, creating what it calls a “designless semiconductor industry.” In this model, companies would not need to become chip designers, commit to long architecture cycles, or risk costly failed chip launches to get the hardware they need.

Over time, the company plans to expand its AI system and partnerships across the entire computing stack. This includes moving from silicon design into compilers, runtimes, system software, and eventually helping optimize the AI models themselves.

As chip design starts to move at the speed of software, models, architectures, and hardware can be developed together. Instead of hardware limiting AI progress, it becomes part of the same continuous improvement cycle, creating a faster loop that drives the industry forward.

"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," said Steve Jang, founder of Kindred Ventures. "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.”

"AI models have advanced dramatically across nearly every field yet chip development cycles remain equally slow and painful," said Ebrahim Hussain, co-founder of Architect Labs. 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."

About Architect Labs

Founded by Ebrahim Hussain and Aaditya Subedi, Architect Labs is building an AI-system that can design and verify chips from start to finish. It helps partners turn complex workloads into production ready silicon while significantly speeding up development timelines. By making custom chip design more accessible, Architect Labs aims to create a future where important workloads can run on hardware that is specifically built and continuously improved alongside them.

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