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AI Services

Internal Knowledge
& Support

Organisations don’t have a knowledge problem. They have a knowledge access problem.

Engagement

AI Solutions

Typical Duration

3 – 6 weeks

AI-powered systems that make scattered information findable, understandable, and actionable. Instead of searching five systems and scrolling through dozens of results, staff ask a question and get a direct answer with sources. Built with retrieval engineering that actually works, not a basic RAG demo.

What we build

Enterprise Knowledge Assistants

Conversational search across Google Drive, SharePoint, Confluence, Notion, Slack. Ask a question, get the answer with a link to the source document.

Self-Service Support Portals

For IT, HR, facilities. Staff resolve common issues through AI: password resets, access requests, policy questions, benefits enquiries. Handles what it can, routes what it can’t.

Onboarding Systems

Purpose-built for new employees. Knows the onboarding process, has access to all documentation, answers the questions new hires ask repeatedly.

Technical Knowledge Bases

For engineering teams. Indexes code repos, technical docs, architecture decisions, runbooks, incident postmortems. Grounded answers, not search results.

Deliverables

What you get

  • Deployed knowledge system connected to your data sources
  • Document ingestion and processing pipeline
  • Vector database with optimised retrieval
  • Conversational interface (web, Slack, Teams)
  • Access controls mirroring existing permissions
  • Quality benchmarks and monitoring
RAGVector SearchPineconepgvectorConfluenceSharePointGoogle DriveNotionHybrid Search

Case Study

Vana

Data — AI — Web3

Vana

A user-owned data hub making personal data portable, permissioned and usable across AI ecosystems — the foundation for AI tools that actually know the context they need.

Read case study

Information exists but nobody can find it?

An internal knowledge tool that gives wrong answers is worse than no tool at all. We build for accuracy and trust. That means proper retrieval engineering, not just plugging docs into a chatbot.

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