Why we started Theoratix

The most capable AI systems can now write a convincing proof, a plausible analysis or a confident recommendation in seconds. What they cannot yet do reliably is show you whether to believe it. The answer and the reasoning arrive together, and the only way to check is to redo the work yourself.

That gap matters most where mistakes are expensive: in research, in engineering, and in the decisions organizations make about people and money. We started Theoratix to close it.

Reasoning you can check

Our first piece of work is Lemma, a reasoning engine. It breaks a question into claims, checks each one with the right tool, scores how sure it is at every step, and flags the steps that need a person. It runs today on leading foundation models, with our own verification and evaluation layer on top. We are developing models of our own, and our roadmap says plainly where each stage stands.

Lemma is not the end product. It is what we put to work: in Conjecture, our product for research teams, and in the agents we build with enterprises that need AI they can explain to a regulator, a client or themselves.

What we hold ourselves to

A company that asks people to check AI rather than trust it has to be checkable too. So we label examples as examples, publish our safety framework before training a model of our own, and will publish evaluation results before anything we train ships.

We are early. If you work on problems where being right matters more than sounding right, we would like to hear from you at contact@theoratix.ai.