Questions, answered.

Yes, and we measured it. We ran it head to head against retrieval based AI on the same questions and the same material, then had an independent judge confirm the result rather than let the model grade its own work. The accuracy is the same, delivered faster and cheaper. Full details are on the Methodology page.

We read the new version once into the model's memory, and every answer is current from then on. Nothing else needs to be rebuilt, and the rest of your library is untouched.

Frontier class open models, hosted by us. Your library is pinned to its model, so answers stay consistent over time and nothing shifts underneath you.

In Engram's cloud, encrypted and isolated per tenant. It never trains any model, and when you delete a document it is gone.

Two simple meters: a small monthly memory fee per document and a flat fee per question answered. Onboarding is free, and input and context tokens are always free. See the Pricing calculator to size it for your library.

Yes. Every library gets an MCP endpoint your agents can query like any other tool, so your existing AI tools and agents can answer from your library directly.

Most libraries are ready the same day. Each document only ever needs to be read once, so onboarding is a single pass and then you are serving answers.

Request early access through the form and we will set up your library with you, from connecting your documents to your first grounded answers.