Puzzle Labs

Puzzle Labs

Puzzle Labs offers a cutting-edge knowledge base that leverages AI to create private chatbots for teams. It features a peer-to-peer setup ensuring data is stored on user devices, thereby guaranteeing

FreemiumData & AnalyticsWritingCodeDesktop app (macOS, Windows), Web interface
Puzzle Labs screenshot

What is Puzzle Labs?

Puzzle Labs is a knowledge base platform that lets teams build private chatbots trained on their own documents and data. It uses a peer-to-peer architecture where data stays on your devices rather than on external servers, giving you direct control over your information. The desktop app works offline, and you can connect your own large language model instead of being locked into a single provider. It pulls in web content without charging storage fees, making it practical for teams that need AI-powered answers from their internal knowledge without surrendering privacy or flexibility.

Key Features

Private chatbots trained on team documents and knowledge bases

Peer-to-peer storage with data kept on user devices, not centralised servers

Offline-first desktop application that works without internet connectivity

LLM agnostic, allowing you to use your own language model or bring your preferred provider

Web content integration at no additional storage cost

Local-first approach prioritising data ownership and control

Pros & Cons

Advantages

  • Strong privacy by design; your data remains on your devices rather than uploaded to the cloud
  • Works offline so teams can use it without constant internet access
  • Flexibility to choose or switch your own language model instead of vendor lock-in
  • No storage fees for adding web content to your knowledge base

Limitations

  • Peer-to-peer setup requires technical familiarity and may be more complex to manage than cloud alternatives
  • Offline functionality depends on desktop app; web access may be limited
  • Best suited for technically experienced teams rather than general business users

Use Cases

Engineering teams creating internal documentation chatbots without sending code to external services

Organisations with strict data residency or confidentiality requirements

Teams working in environments with unreliable internet needing offline chatbot access

Companies wanting to avoid vendor lock-in with large language models

Internal support teams building knowledge base chatbots from company policies and procedures