Company

We're building the AI for healthcare business decisions.

Healthcare is nearly a fifth of the economy, and it runs on data scattered across hundreds of systems that don't talk to each other. The people making its biggest decisions piece that data together by hand, or pay consultants six figures for it. Healthcare data exists everywhere; Kai turns it into the decisions healthcare businesses have to make. An expert that knows the industry cold, turning scattered public, private, and licensed data into decision-grade answers and the next step, every answer cited to its source.

Mission

From scattered data to the decision.

To become the source healthcare trusts for the calls that matter, the one operators, dealmakers, and companies run their business on. Not a chatbot you have to double-check, but an expert that turns the industry's scattered data into a decision-grade answer you can put in front of a board.

40% better than Claude, ChatGPT, Gemini, and Copilot on healthcare intelligence, depth, and reasoning.

Why now
01

The technology is finally ready

AI is finally good enough that a healthcare-trained version beats human analysts on real work, and buyers now know exactly where general AI falls short.

02

New rules are forcing the data open

A new federal rule makes health plans covering most of the country share their data in a standard way by January 1, 2027. The raw material Kai turns into answers is being created, on a deadline.

03

The AI models are becoming the same

As the big AI models all get similar, the lasting value moves to the healthcare data, reasoning, and sources on top. That's the part Kai owns. The models are just its fuel.

Team

Founder-led, builder-built.

Kai was designed, built, and sold by its founder, built with AI, and now running in production at a public healthcare company. We're a small, technical team that would rather ship the thing than talk about it. If you want to build the AI for a fifth of the economy, we'd like to meet you.

Build with us.

We're hiring engineers who want to turn healthcare's hardest data into decisions.