Architect Labs emerges from stealth with $24M in funding to make custom silicon accessible to everyone

The AI boom has created an uncomfortable reality for the semiconductor industry: demand for custom chips is outpacing companies’ ability to design them.

Training large AI models, running robotics systems, operating autonomous machines, and building next-generation computing platforms all require increasingly specialized hardware. Yet creating a custom chip remains one of the most expensive and time-consuming undertakings in technology, often taking years of engineering work and hundreds of millions of dollars before a design ever reaches production.

Architect Labs believes AI can change that.

The Palo Alto startup emerged from stealth on Thursday with $24 million in seed funding to build AI systems that automate chip design and verification. The round was led by Kindred Ventures, with participation from TQ Ventures, Race Capital, Together Fund, and a group of investors and industry leaders that includes Srinivas Narayanan, Lukasz Kaiser, Aravind Srinivas, Kunle Olukotun, Trevor Blackwell, Dr. Alex Wissner-Gross, and Shaad Khan.

Executives from NVIDIA, Google, OpenAI, and other technology companies joined the round. Kindred Ventures founder and managing partner Steve Jang will join the company’s board.

The startup is targeting one of the largest bottlenecks in modern computing. AI has pushed hardware infrastructure into a new phase in which general-purpose chips are no longer sufficient for many workloads. Companies increasingly want silicon built for their specific needs, whether those needs involve large-scale AI training, networking, robotics, defense systems, spatial computing, or edge devices.

The problem is that custom silicon remains largely out of reach for most organizations.

This Startup Wants to Do for Chip Design What TSMC Did for Manufacturing — Architect Labs Raises $24M

Architect Labs wants to make chip design far more accessible. The company is developing an AI-driven platform that converts demanding workloads into production-ready chip designs, allowing organizations to pursue custom hardware without building massive semiconductor teams from scratch.

The founders compare the opportunity to a shift that transformed the semiconductor industry decades ago. Before the rise of foundries such as TSMC, companies needed manufacturing capabilities to produce chips. The fabless model changed that by separating design from fabrication. Architect Labs argues that AI can bring a similar change to chip design itself.

The company describes this future as a “designless semiconductor industry,” where organizations no longer need to become chip companies just to create hardware optimized for their products and workloads.

“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.”

Architect Labs is looking beyond chip layouts. Over time, the company plans to expand its AI system across the computing stack, helping co-design compilers, runtimes, system software, and eventually AI models themselves. The goal is to bring hardware development closer to the pace of software development, allowing silicon and AI systems to evolve together rather than on separate timelines.

Investors see custom silicon becoming a much larger market as AI workloads diversify.

“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.”

The startup was founded by Ebrahim Hussain and Aaditya Subedi, who met at Stanford while researching AI systems for chip design and verification.

Hussain took an unconventional path into engineering, enrolling in college at age 15 after skipping high school. He later worked on custom silicon projects at Apple and Tesla. Subedi previously conducted AI research at Harvard, focusing on code verification systems. The pair saw a widening gap between advances in AI and the hardware needed to support those advances, leading them to leave Stanford and launch Architect Labs.

Their team brings experience from across both the semiconductor and AI industries. According to the company, team members have collectively taped out more than 80 production chips, managed multibillion-dollar product lines at Intel’s Data Center Division, contributed to Meta’s custom silicon efforts, and led machine learning research teams at Anthropic, DeepMind, and xAI.

Architect Labs plans to use the new funding to expand its computing infrastructure, advance its AI research, and work with early partners on production silicon projects.

The company’s vision is ambitious. If successful, it could lower one of the highest barriers in technology and make custom chip development available to a far broader group of organizations than ever before.

At a time when AI companies are racing to build larger models and governments are investing heavily in computing infrastructure, Architect Labs is betting that the next major breakthrough may come from changing how chips are made.