
Ebrahim Hussain
Co-founder & CEO
Stanford researcher. Silicon team at Apple & Tesla.

Architect Labs is a foundational AI lab for computing systems. We are starting by building an AI system that can design and provably verify chips end-to-end. We partner with semiconductor and workload companies, AI labs, and nations to accelerate their chip programs, or build one from scratch.
The rapid growth of AI has fundamentally changed the economics of hardware infrastructure. Computing has shifted from a basic GPU-CPU-memory configuration into massive, scalable, integrated environments built around custom silicon. General-purpose hardware can no longer keep up with AI's complex demands for specialized compute, advanced networking, and high-speed connections. This trend isn't just limited to data centers; it’s expanding into robotics, autonomous systems, spatial computing, defense, personal devices, and wearables.
However, the ability to design chips has barely moved since the 2000s.
Designing a chip today is one of the slowest, most expensive, most talent-constrained processes in all of modern technology.
Concept to silicon routinely runs 2–5 years.
Tens to hundreds of millions before a single working chip exists.
A tiny pool of experts concentrated in a handful of companies.
A 40-year-old design flow built for human pace, not the AI era.
Several AI-for-EDA efforts in the industry are bandaging an AI assistant onto existing flows to speed up and augment an engineer's workflow. These approaches have made marginal improvement, but do not fundamentally transform the industry.
Architect Labs exists to change the development timelines, economics, and the computing paradigm for modern silicon. We're building an AI system that co-designs, optimizes, and provably verifies chips end-to-end, for your specification or target workload.
With our technology, we:
Starting three decades ago, foundries made world-class manufacturing available to anyone with a chip design, partnering with “fabless” companies to bring their designs to market.
Architect Labs aims to do the same for design itself: make world-class chip design available to anyone with a workload. We call this the designless semiconductor industry, a world where organizations no longer have to become chip companies, make decade-long bets on an architecture, or carry the risk of a failed tape-out, just to get the silicon their work demands.
Our founding team has collectively taped out 80+ production chips, led $10B data center product lines, been core contributors to Meta’s AI silicon, architected and designed one of the first neuromorphic chips out of Intel, led research teams at Anthropic, xAI, and Google DeepMind, and contributed to fundamental AI work across nearly every frontier lab.

Co-founder & CEO
Stanford researcher. Silicon team at Apple & Tesla.

Co-founder & COO
AI researcher at Harvard. Former founder.

CSO
Former Senior Director, Data Center AI group at Intel.

Head of AI
Former Head of Trust and Safety ML at Anthropic.

Head of IP
Former research lead at Meta Silicon & Intel AI Labs.

Fellow Architect
Former CTO of AI at Infineon. Sima.ai founding team.
We are grateful for our early supporters who help shape our research directions and company.

Co-author of "Attention Is All You Need", OpenAI

Former CTO of B2B, OpenAI

OpenAI founding team member

Co-founder & CEO, Perplexity AI

Founder, SambaNova

Computer scientist, MIT and Harvard

Stanford

AI for hardware, GDM

Co-founder, Dropbox