Reshaping the
scientific method
for the machine age

Driving digital-physical information gaps to zero

Simulation Intelligence (SI) will reshape how humans and machines collaborate to address science & engineering challenges. Pasteur Labs is catalyzing this change, building the underlying technology stack from first principles (Lavin et al '21), based on decades of computing R&D experience at the forefront of cyber-physical, human-machine, and systems intelligences.

Yet beyond invention is the key to Pasteur Labs' impact:
our intimate & frequent coordination with nontrivial use-cases in live environments; our inventions are tested & industry-hardened in the wild, verified & validated (Lavin et al '22) whilst addressing humanity's most pressing & valuable challenges.



"It is no exaggeration to say that continued U.S. and international prosperity, security,
& health depend in large part on continued improvements in simulation capabilities."
—Computing Research Association, 2020

"We cannot solve our problems with the same level of thinking that created them."
—Einstein

Nobel-Turing pursuits & partners

What is “Nobel-Turing” is ever evolving.* The gist is to develop and validate AI systems capable of Nobel-caliber scientific discoveries in highly autonomous ways. Nobel is used as a symbolic target illustrating the level of discoveries the challenge is aiming at. The value lies in the development of machines that can make discoveries continuously and autonomously, rather than winning any award.

At Pasteur Labs we adopt “engineering physics and the expanse of human-machine knowledge space” as our Nobel-Turing path, and have multiple pipelines in active development with world-leading R&D partners.

As a public-benefit company, Pasteur Labs is legit AI-for-good; we are a for-profit software startup, required to consistently align 50% of our resources with the declared public-benefit mission: build Nobel-Turing technologies that advance science & society for all humankind.

*Nobel-Turing described at (Lavin et al ‘22), (Kitano '21), and Alan Turing Inst.

Intrigued to learn more? Want to build together?

Drop us a line