Lemma breaks a question into claims, checks each one, and marks the steps it is least sure of, so people can check its conclusions instead of trusting them.
Most AI systems give a confident answer whether or not they are right. For science, engineering and regulated industries, that is not good enough. A conclusion is only useful if you can see how it was reached and check each step.
Lemma is built around that idea. It breaks a problem into claims, checks each one with the right tool, and attaches a calibrated confidence to every step. When it is unsure, it says where, and a person decides.
What it runs on
Lemma is an engine, not a model. Today it runs on leading foundation models, chosen for each task, with our own verification and evaluation layer on top. That layer is where our research lives.
We are training our own models to do the checking more reliably and at lower cost. Our roadmap says plainly where each stage stands, and we will publish evaluation results before anything ships.
Where you can use it
Lemma runs inside Conjecture, our product for research teams, and inside the agents we build with enterprises. Get in touch to work with us.