Services · Ask your own records, and get the real numbers

RAG and knowledge graphs over your business

Search your documents and past decisions, with the source shown

Every system we build starts as a model of entities, relationships and decisions — which is already the schema of a knowledge graph. We build retrieval (RAG) and knowledge-graph layers on top, so people and AI agents can ask questions of your records, documents and past decisions and get answers that cite where they came from.

Who it's for: Businesses whose know-how lives in documents, inboxes and a few senior people's heads, and who want an assistant that answers from their own data rather than the internet.

How it works

  1. 01 Every system we build starts as a model of things, relationships and decisions, which is already the shape of a knowledge graph.
  2. 02 Documents and records are indexed for search, and each passage keeps a link to its source.
  3. 03 Answers quote the record or document they came from.
  4. 04 Relationships the system works out for itself stay marked unconfirmed, and read-only, until a person confirms them.

The numbers

Running on this site
Search and chat over every published page (Ctrl/Cmd+K), and the same index as an MCP server for AI agents
Running today
Ahrom Labs' own decision corpus, which the AI coding agents in 4 client codebases are instructed to check before any new design
Inferred relationships
Marked unconfirmed and kept read-only until a person confirms them
Answers
Cite the record or document they came from

What to require from any vendor for this: 1 line on the ERP requirements checklist, each with the test to ask for in a demo.

Questions buyers ask

Is this running anywhere?
It runs on this site today: search and chat over every published page (Ctrl or Cmd + K), and the same index as an MCP server that AI agents use. In a client system it is built on the same records the business already runs on, so drawings, certificates and past quotations become searchable with their source.
How is it different from the AI assistant?
The assistant answers questions about live records with fixed look-ups, such as this month's revenue. Search finds and quotes documents and past decisions, such as a drawing, a certificate or an old quotation, and shows where each came from.
Can AI agents use it?
Yes. The same index is available as an MCP server, so an AI agent can search it and cite the page it found.

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