⌕ Capability
RAG & Enterprise Search
Answers grounded in your documents, with citations.
Retrieval-augmented generation lets AI answer from your own knowledge. We build the full pipeline: ingestion and parsing of messy documents, chunking, hybrid search, re-ranking, access control and evaluation: the parts that decide whether answers are right.
Typical use cases
Challenge. Policies, procedures and technical docs are spread across SharePoint, Confluence and drives.
What we build. A permission-aware assistant that answers with citations to the exact paragraph and says “I don’t know” when it should.
Challenge. Legal and procurement read hundreds of pages to find one clause.
What we build. Clause-level retrieval and extraction across contract repositories, with side-by-side comparison against your standard terms.
Challenge. Customers can’t find answers in your help centre.
What we build. Hybrid semantic search and answer generation on your docs site and in-app, measured against real search logs.
Examples
Use cases with RAG & Search.
Next step
Let's talk about your AI system.
A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.
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