How it works
Engram CaaS is Cache Augmented Generation as a Service: a hosted AI answer service for your document library. Connect your documents and we read each one once into the model's memory. Every question after that is answered straight from memory, in the chat workspace or through your own agents and tools.
Why it works
Your documents already live in the model's memory, so no question has to send them through the model again. The reading happens once, at onboarding. Every answer after that starts from memory, and that is where the savings, the grounding, and the speed come from.
No answer re-reads your documents, so input and context tokens are never billed and a busy library stays affordable. The Economics page shows what that saves at your volume.
Answers draw on the full document, so nothing gets lost to a truncated chunk. Measured head to head against retrieval based AI on the same questions and the same material, the accuracy holds, confirmed by an independent judge.
Your library stays ready in the model's memory, so answers start fast. Speed stays steady whether the library holds a handful of documents or your whole knowledge base.
The pipeline
Bring your library through the SharePoint connector, the Google Drive connector, or direct upload.
Each document is read a single time into the model's memory and remembered from then on.
Ask in the chat workspace, or wire your own agents and tools to your library's MCP endpoint.
Every answer draws on your whole library from memory, and stays current with every document change.
Three ways in, two ways out
Your library is isolated per tenant and encrypted at rest and in transit. It is never used to train any model, and when you delete a document it is gone from serving for good. Guarantees you can put in a contract.
