All servicesAI Assistants on Your Own Data

Custom AI assistants that actually know your business

Secure, governed AI assistants that answer questions over your own internal data using retrieval-augmented generation (RAG) — accurate, source-cited, and with zero data leakage.

RAG over private dataSource-cited answersRole-based accessZero data leakage

Off-the-shelf models know everything about the world and nothing about your business. We ground an assistant in your documents and data so it answers from your real information — and shows its source.

What's included

  • Retrieval-augmented generation (RAG) over your contracts, policies, pricing and history
  • Source-cited answers your team can verify, not ‘trust me’ responses
  • Role-based access so people only see what they should
  • Guardrails and evaluation to keep answers accurate and on-topic
  • Governance, logging and an audit trail aligned to your compliance needs

How we work

01 · Free diagnostic

We find where your team loses time hunting through internal information — and whether an assistant helps.

02 · Data & retrieval setup

The 80% that matters: getting the source material, retrieval and guardrails right.

03 · Fixed-scope build

A governed assistant shipped to a defined scope and price, with monitoring built in.

Outcomes you can expect

  • Answers in seconds, grounded in your own documents
  • Sharply fewer fabricated or ‘confidently wrong’ answers
  • Every answer traceable to a source you can audit
  • Knowledge that stays usable as your documents change

FAQs

How is this different from just using ChatGPT?

A general model guesses from training data and can’t see your information. A RAG assistant retrieves your actual documents first and answers from them, with citations — far more accurate and auditable for business use.

Will our data be used to train someone else’s model?

No. Your data stays private and is never used to train external models. Access is controlled and every answer is logged.

What if our documents are out of date or scattered?

Then the assistant would retrieve the wrong thing — which is why we start with the source material and retrieval, not the model. Getting that right is 80% of a useful assistant.

Is this suitable for regulated industries?

Yes — source-cited, auditable answers are exactly what regulated sectors need. We build explainability and logging in from the start.

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