Enterprise AI Search

One AI search across your company's tools and documents

Connectors and permission-aware search so people find the right file or ticket across many systems. For a single knowledge base that answers with citations, see RAG & Knowledge Assistants.

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What's included

What you get with Enterprise AI Search

  • Connectors for drives, wikis, tickets and chat
  • Semantic and keyword search
  • Answers with sources
  • Permission-aware results
  • Usage analytics
  • Slack, Teams or web interface
How we deliver

Phases, timelines and what you receive

1-2 weeks

Discover

Use-case scope, KPI baseline, data access plan

4-6 weeks

Pilot

Working pilot on real data with evaluation results

6-12 weeks

Production

Hardened, integrated, monitored system

Monthly

Improve

KPI and cost reports, new use cases shipped

Talk to an engineer

Get a plan for Enterprise AI Search

A few fields, no sales script. We reply within 1 business day with next steps.

Quick enquiry

RegardingEnterprise AI Search

What do you need? Select one or more

We reply within 1 business day.

Models & tech stack

What we build with

Models
ClaudeOpenAIGeminiLLaMAMistral
Stack
ElasticsearchpgvectorOpenAIClaudePython
FAQ

Frequently asked questions

Straight answers on cost, timelines, ownership and data.

No. Results follow the same permissions as the source systems.

Enterprise search is cross-system discovery. RAG assistants are scoped to one corpus and optimised for Q&A with citations. We often start with RAG when the domain is clear.

Not under this exact label yet. Related work includes Decode (RAG knowledge assistant) and search-heavy product builds. Ask for the closest example.

Next step

Ready to talk about Enterprise AI Search?

Book a short call with a senior engineer. No pitch deck, just a clear next step.

  • We reply within 1 business day.
  • NDA available on request
  • You own all code from day one

Scope a pilot

What do you need? Select one or more

We reply within 1 business day.