Correctness over cleverness
In our domains, a model that is wrong quietly is worse than no model at all. We optimize for systems that are right, and that can be shown to be right.
About
Ancient Practice - Modern Result
Five thousand years ago Stonehenge was a ring of 56 chalk filled pits that encoded the motion of the heavens and provided actionable information to a nascent agricultural society. We perform the modern version of that work: encoding the high-dimensional data in complex systems to models and processes that are accurate, verifiable, and trusted — for use in contexts with little margin for error.
The 56 Aubrey Holes
First surveyed in the 17th century by John Aubrey, archaeologists believe the Aubrey holes are a device for tracking the sun and moon and predicting eclipses, millennia before modern mathematics and modeling.
The manifold hypothesis posits that modern AI/ML systems find their usefulness in the ability to project relevant high-dimensional structure in data onto lower-dimensional surfaces, or manifolds. Similarly, the ring of 56 chalk pits is a two-dimensional encoding of societally relevant information latent in the movement of planetary bodies.
Mission
Intelligence you can stake something on.
Highly regulated and safety critical contexts require strict software quality assurance. Our mission is to make advanced machine learning genuinely deployable in these environments: verifiable, auditable, and aligned with the people who operate the systems.
How we work
Principles we don't bend.
Verification is the product
Documentation, testing, and traceability are not afterthoughts. They are what make an intelligent system usable in a regulated environment.
Humans in the loop
We build tools that make expert operators faster and better-informed — not black boxes that ask to be trusted blindly.
Want to work with us?
We take on a small number of engagements where we can do real good.
Get in touch