Probabilistic reasoning
is core to
decision-making.

At Normal, we develop enterprise AI systems that can reason and make decisions alongside humans, even when there is uncertainty and risk — empowering computers and humans to accomplish complex tasks together that require weighing tradeoffs and dealing with real stakes.

We believe understanding of probabilities and reasoning is the primary blocker to effective AI agents for most of these problems. We are working from the ground-up to enable the ability for AI to deal with uncertainty, to know when to change our approach, to play out scenarios and make decisions, and generally to deal with the complicated, hard-to-predict and noisy nature of the real world:

  1. Enabling new experiences1, and solving thought-impossible engineering problems to engage with the real world
  2. Training large-scale probabilistic machine learning models2 that are capable of principled reasoning and using logical memory3
  3. Making these systems massively energy-efficient4 by rethinking how we train these models in hardware

Normal Computing was founded by former members of the Google Brain Team, Palantir, and X who unlocked AI for some of the largest-scale and most mission-critical production systems, and the industry leading ML frameworks for Probabilistic and Quantum AI.

Our north star: to enable a new industrial revolution through digital robots that can reason about the physical world. These full-stack AI systems will be welcomed as valuable and trustworthy thought partners to expert knowledge workers in our most critical industries. Along the way, our pioneering of hardware for AI and AI for hardware will lead to new insights and powerful tools – that will both unlock greater quality and massively drive down costs across AI and hardware together.

A few of our world-class investors and advisors

Our Team

Faris Sbahi
Co-Founder, CEO
Matthias Tan
Co-Founder
Antonio Martinez
Co-Founder
Patrick Coles
Chief Scientist
Thomas Ahle
Machine Learning Lead
Jake Zerrer
Product Engineering Lead
Zach Belateche
Silicon Engineering Lead
Yuchen Fama
Head of Product
Ary Swaminathan
Finance
Noor Abdullah
Executive Business Partner
Mengdi Chen
Software Engineer
Zachary Bruno
Software Engineer
Lingjie Feng
Software Engineer
Gavin Crooks
Research Scientist
Sam Duffield
Research Scientist
Johnathan Chiu
Machine Learning Engineer
Phoebe Klett
Machine Learning Engineer
Dmitri Saberi
Machine Learning Engineer
Rajath Salegame
Machine Learning Engineer
Vincent Cheung
Analog Design Engineer
Suhaas Bhat
AI Resident
Vassilios Kaxiras
AI Resident
Nicolas Martyanoff
Core Engineering Lead
Julien Dessaux
DevOps Engineer
Maxwell Aifer
Research Scientist
Kaelan Donatella
Research Scientist
Denis Melanson
Research Scientist
Anastasia Marchenkova
Marketing
Nicole Palmarozza
Recruiting & Talent
John Ferneborg
Talent Advisor
Maximos Lih
People Advisor
Sarah Lee
MBA Intern
Jordan Smith
Business Intern
Steve Fu
Board Director
Faris Sbahi
Co-Founder, CEO
Matthias Tan
Co-Founder
Antonio Martinez
Co-Founder
Patrick Coles
Chief Scientist
Thomas Ahle
Machine Learning Lead
Jake Zerrer
Product Engineering Lead

Careers

At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. We have a tightly knit office-first culture across NYC, SF, Copenhagen, and London.

Join us as we incite a second industrial revolution through AI purpose-built for (and in) the physical world, as part of our incredible team that’s anything but normal.