Answers from your documents, even when the facts are scattered.

Software searches your contracts, policies and manuals, builds an answer from them and links the source. Whoever gets the answer can check it.

Does this sound familiar?

You have the documentation. Finding your way around it is the problem.

„I know we have it somewhere.“

The answer exists, in an old version of a policy on a shared drive.

„I'll just ask a colleague.“

Interrupting the longest-serving person is faster than searching.

„Everyone answers differently.“

Two people find two versions and the customer gets two answers.

„A new joiner asks about everything.“

Onboarding costs the time of the people who have least of it.

How it works

No magic: a search of your documents and an answer with its source named.

  1. We process your documents

    Contracts, policies, manuals, the wiki. Scope and hosting follow the rules on where your data may go.

  2. We find the passages that answer the question

    Not whole documents, but the passages - even when the answer sits in several of them.

  3. We build the answer from what we found

    The software answers from your documents, not from whatever the model once learned.

  4. We link the source

    Every answer shows which document and which part it came from.

Where it fits

Companies with a lot of documentation

The more documents, the sooner searching by hand stops paying off.

  • Technical documentation and manuals
  • Internal policies and procedures
  • Knowledge bases and wikis

Customer support

The agent gets the material, not a finished verdict.

  • A draft answer with its source
  • Case background in one place
  • The same information for the whole team

What you get

What changes once the software finds the answer.

Once it runs

  • An answer in moments instead of a hunt across drives
  • A source with every answer that can be checked
  • The same approved material for the whole team
  • Fewer repeat questions to experienced colleagues
  • Answers from your documents only, not from random search results

Want to see further in?

We wrote up how document search works inside and where its limits are.

Losing time searching through documents?

Show us a sample of your documents and the questions people ask. We will check whether the answers hold up.

Talk about your problem