For teams with a rising AI bill
A standard RAG stack makes your AI re-read the same documents on every single question, and you pay for it every time. Engram CaaS reads your document base once and answers every question from memory. Input and context tokens are never billed.
Self serve. No GPUs to run, no contract.
The problem
Every question against a standard RAG system re-processes the same context from scratch. That is wasted GPU time and wasted spend on tokens you already paid to read, and it costs you in three ways.
Every question sends the same documents back through the model, so the bill grows with every user and every agent you add.
The more context each question carries, the longer answers take. As your library grows, the wait grows with it, and your users feel it.
The caches offered by the big AI APIs expire quickly, so the savings rarely materialize. You end up re-sending whole documents to rebuild state that existed a short while ago.
Why your bill drops
Engram CaaS reads each document once into the model's memory and serves every later question straight from it. You pay for the answers, not for reading the same pages over and over.
Connect your document base through a simple API or direct upload. We read each document one time into memory.
Point your AI, your agents, or your own tools at a single endpoint and ask. Answers come straight from memory.
One price a month with a clear allowance, and input and context tokens are never billed. You know the bill before the month starts.
Onboard your document base and run your first queries in minutes. Self serve, one flat price, no contract.
Rather talk to us first?
Tell us where your documents live and we will set up your library with you.
No spam. We'll reach out to schedule.
Connecting your library, asking from the chat workspace or your own agents, and how your data stays yours.
See how it works →