Transform Your Data into AI Knowledge
Unli connects all your knowledge sources into one secure layer, making every AI assistant smarter, faster, and grounded in your real business.
Every organization today is trying to use AI assistants—but the problem is, AI doesn’t know your business. Your data is scattered across drives, wikis, CRMs, ticketing systems, and internal docs, and that knowledge never makes it into the conversation. The result? Generic answers, endless copy-pasting, and lost productivity.
Unli.ai fixes this by becoming the universal bridge between your data and any AI you want to use. It unifies all your knowledge sources into one secure, searchable layer, then feeds that context directly into ChatGPT, Claude, Gemini, or your own internal copilots. The result is AI that actually understands your organization—delivering accurate, relevant, and trustworthy answers instantly.
With Unli, your data finally works for you, powering every AI tool across your business.
- Import your data sourcesKeep all important information in one easy-to-access place.
- Unify scattered documentsTurn files, wikis, and tickets into a single source of truth.
- Make AI context-awareGive ChatGPT, Claude, Gemini, or any AI access to your knowledge.
- Search across everythingFind the right answer instantly, no matter where it lives.
- Works with any AIStay flexible across OpenAI, Anthropic, Gemini, Llama, and more.
- Plug into your toolsIntegrate with Slack, Teams, Zendesk, Salesforce, and beyond.
- Get instant insightsTrack usage, queries, and knowledge gaps with built-in analytics.
- Always up to dateSyncs changes in real-time from all your data sources.
- Private and secureConnect your workspace to your own infrastructure.
Connect your sources
- Set up in minutes
- Choose folders or spaces to include
- No migration or copy-pasting required

Structure and protect your knowledge
- Read-only indexing by default
- Role-based access and auditability
- Automatic updates as files change

Plug Unli into any AI
- Works with any leading model
- Simple drop-in RAG API
- Fresh, cited, organization-aware answers

Combine datasources
- Try real questions; verify citations
- Spot content gaps and add sources
- Expand access across Slack/Teams and apps
