RAG & Enterprise Knowledge Assistants
Your company knowledge sits in PDFs, wikis, tickets and inboxes. We turn it into an assistant that cites its sources, respects who is allowed to see what, and says "I don't know" instead of guessing.
Sound familiar?
- Staff ask the same questions because search fails them
- New hires take months to find their way around
- Answers depend on who happens to be available
- Your first RAG prototype gives confident wrong answers
What we build
- Ingestion pipelines for PDFs, SharePoint, Drive, Confluence and databases
- Hybrid retrieval: keyword plus vector, with reranking
- Permission-aware search that mirrors your access rules
- Citations on every answer, linked to the source passage
- Retrieval and answer-quality evaluation on your real questions
What you get
- Assistant in web, Slack or Teams
- Ingestion pipeline with scheduled refresh
- Golden question set and quality report
- Admin view for gaps and feedback
See how this could work: RAG Knowledge Assistant for a B2B SaaS Support Team
Questions
Will our data be used to train models?
No. We use enterprise API terms with no training on your data, or self-hosted models when your policy demands it.
How do you stop made-up answers?
No system removes them entirely. We reduce them with strict grounding, citations, refusal when retrieval is weak, and a measured evaluation set that tracks the rate over time.
How much data do we need?
Less than you think. A focused set of a few hundred good documents beats millions of stale ones. We start with one team and one question type.
Related services
AI Agent Development
We build AI agents that complete multi-step work inside your systems, with guardrails, human approval and full audit logs.
Learn more →Generative AI Application Development
Customer-facing and internal LLM products, from document drafting to AI copilots inside your SaaS.
Learn more →AI Workflow Automation
Automate document-heavy, judgement-light work across finance, HR, support and operations.
Learn more →Have an AI idea? Get a straight answer on whether it will work.
Thirty minutes with an engineer, not a salesperson. You leave with a verdict, a rough scope and the next step, whether or not you work with us.