Intelligence on Demand
A private, document-grounded AI you bring up only when you need it. It retrieves the relevant passages from your own documents and generates an answer grounded in them — citing its sources — then stands down. Retrieval-augmented generation, on hardware you control.
An answer, grounded in your own documents
Most AI answers come from a model's memory, which is why they are confident even when they are wrong. Intelligence on Demand works the other way around. When you ask a question, it first retrieves the passages from your own corpus that actually bear on it, then generates an answer grounded in those passages and shows you the sources it used. You are reading a claim backed by a document you can open, not a guess backed by a model's confidence.
The principle is intelligence when you need it, and nothing running when you do not. The capability is brought up when a question needs answering and stands down afterward, so you are not paying to keep a large model running around the clock, and the model is not sitting idle holding your data.
The corpus it answers from is kept by Perpetua, our persistent private data layer. Perpetua remembers; Intelligence on Demand recalls.
How it works
Retrieval-augmented generation, kept entirely inside your boundary. The documents, the index, and the model all run on hardware you control.
Index your corpus
Your documents are indexed in place — manuals, tickets, specifications, correspondence, whatever the questions are really about. The index lives on your hardware; nothing is uploaded to an outside service.
Retrieve, then generate
A question first pulls the passages that bear on it, and only then does the model write an answer grounded in those passages. The answer carries citations back to the source, so it is verifiable, not trusted on faith.
Up on demand, down after
The service comes up to answer and stands down when the work is done. You spend compute on questions asked, not on an idle model, and the data never leaves while it waits.
Why it stays private
Intelligence on Demand is built on the same principle as our private AI hosting pillar: the model, the documents, and the inference stay on hardware you control. For anyone whose corpus is sensitive — regulated records, legal material, internal engineering — that is the difference between being able to use grounded AI and not. Nothing is sent to an outside service to answer a question, and access to the index and its answers is identity-controlled and auditable.
Grounded answers you can trace, over your own documents, without the documents ever leaving the building.
And it is built the way everything here is: with augmented engineering. The retrieval extends an engineer's reach across a corpus too large to read; the engineer still decides what a good answer looks like and what counts as a trustworthy source.
Have a corpus worth asking questions of?
Tell us what the documents are and what you need to get out of them. We will tell you where Intelligence on Demand fits.
Email info@mcgllc.com