Legal and compliance
Find clauses across hundreds of contracts in seconds.
What we build
RAG lets an AI look up your own information before it answers, so replies are based on your facts. The source can be documents, a database, help articles or a product catalogue.
- Company knowledge assistantStaff ask in plain language and get answers from policies, wikis and past work.
- Customer support chatbotAnswers from your help centre and product information, with a link to the source.
- Search across your systemsOne search box over files, tickets, customer records and databases.
- Answers people can checkEvery answer shows its source, and people only see what they're allowed to open.
Where it fits
Customer support
Sourced answers from product docs and past tickets.
Sales and e-commerce
Product questions answered from your live catalogue and price lists.
Questions about RAG & AI search
What is RAG?
Retrieval-augmented generation. The AI finds the right passages in your data first, then writes an answer based on them.
Is our data used to train public models?
No. We use enterprise model APIs or self-hosted models set up not to train on your data.
How accurate is it?
We measure it. Before launch we test it on your real questions and track how often the answer and the source are right.
Which data can it use?
PDFs, SharePoint, Google Drive, Confluence, Notion, help desks and databases, kept in sync.