Enterprise intelligence
for high-stakes industries
We build the layer that lets AI do high-stakes work. Models do what they do well, code does the rest, and every number goes back to its source.
Read our founding storyWhy we're
called Kepler
In 1601, Johannes Kepler inherited Tycho Brahe's observations of Mars, the most precise measurements of the sky anyone had yet made. For two thousand years, everyone knew the planets moved in circles.
Kepler's best circle missed Brahe's data by eight arcminutes, a gap most would have written off as error. He trusted the data instead, and found the ellipse. We named the company after him.
Read "Elegant and Wrong"The model is rented.
Everything that makes it work is ours.
Decisions hinge on numbers
In finance, law, healthcare and government, a wrong figure in a pitch book or a made-up citation in a filing has real consequences. Every AI rollout we've seen stall in the enterprise stalled the same way: one wrong number nobody could explain.
Smarter models don't close the gap
A model on its own can't prove a number, and it doesn't know your firm's data, definitions or relationships. So we split the work: the model handles the question and the write-up, and code pulls, computes and cites every number.
Why we built Kepler
Kepler was founded in 2025 by engineers who spent years at Palantir building data platforms for organizations where wrong answers had real consequences. We're building that layer again for the AI era, starting with investment firms.
A team that has
built this before
Our team includes senior engineers from Palantir, Citadel, Meta and AWS, with 50+ combined years at Palantir alone, alongside finance operators who have run $100M+ businesses and product leaders who have shipped at scale.

Vinoo Ganesh
Seven years at Palantir, leading compute for Foundry. Then Citadel's first Head of Business Engineering.
LinkedInUniversitiesStanford · Yale · Penn · Berkeley · Oxford · Duke · Michigan · UIUC · USC · WashU · EPFL · Tsinghua · LBS
Backed by builders
who know what it takes
Our investors built the foundational data platforms and AI labs that define the current era. They know what it takes to build infrastructure that earns trust at scale.
Join a team
rethinking trust in AI
We're based in New York and growing. If this sounds like the kind of problem you want to work on, we're hiring.
See careers