Engram CaaS is Cache Augmented Generation as a Service: a hosted AI answer service for your document library at a fraction of the cost of traditional RAG systems. Connect your documents and we read each one once into the model's memory. Every question after that is answered straight from memory, with the same accuracy as retrieval based AI, with blazing fast speed.
Read once, then answer from memory
See pricing →Read
We read each document once and hold it in the model's memory. When a document changes, the new version is read the same way.
Answer
Every question is answered straight from memory with blazing fast speed, and we never bill for input or context tokens.
Connect
Every library comes with an MCP endpoint, so your own agents, assistants, and tools can query your documents like any other tool.
Three ways in, two ways out
Connect through SharePoint, Google Drive, or direct upload. Ask through the chat workspace, or wire your own agents and tools to your library's MCP endpoint.
Your documents get read once at onboarding, then every answer comes from memory. Input and context tokens are never billed, so the same library of questions costs a fraction of what a per-token AI API charges you today.
Answers are grounded in your source documents. Measured head to head against retrieval based AI on the same questions and the same material, the accuracy holds, confirmed by an independent judge. Quality you can put in front of your team and your customers.
Your library stays warm in memory, so answers start in milliseconds whether it holds a handful of documents or your whole knowledge base. Speed stays steady as the library grows.
How it works
Bring your library through SharePoint, Google Drive, or direct upload.
We read every document one time into the model's memory.
Ask in the chat workspace, or through your library's MCP endpoint.
Every answer comes straight from memory, grounded in your documents.
We're opening early access for teams with large document libraries who pay per-token AI bills today. Legal, compliance, research, finance, and enterprise knowledge teams welcome. Tell us where your documents live and we'll set up your library with you.
No spam. We'll reach out to schedule.
