PrivateGPT.io

A private ChatGPT that answers from your company's own connected sources

Intermediate
Screenshot of PrivateGPT.io, A private ChatGPT that answers from your company's own connected sources

What is PrivateGPT.io?

PrivateGPT.io is an AI chat bot tool. A private ChatGPT for organizations that connects Notion, JIRA, Slack, GitHub and similar sources, then answers natural language questions while respecting existing user permissions and keeping customer data out of model training.

PrivateGPT.io is a private ChatGPT style assistant built around company knowledge rather than public web content. The premise is simple: organizations accumulate documents, tickets, messages and notes faster than anyone can search them, so the product connects to the tools where that material already lives and lets people ask questions in natural language instead. The homepage names Notion, JIRA, Slack, GitHub, Google Drive, MongoDB and Microsoft Excel as example sources, and shows a Slack, Drive, MongoDB, GitHub, Notion and Excel logo cluster as the surrounding ecosystem. The two design principles the site emphasizes are privacy and access control. Data supplied by a customer is stated not to be used for training AI, which addresses the common objection to putting internal material into a hosted model. More distinctive is the security claim: people inside an organization only receive answers about information they are already permitted to access. For teams with confidential projects, restricted repositories or role based documentation, that distinction matters more than raw model quality, because a knowledge assistant that leaks across permission boundaries is worse than no assistant at all. In practice the tool behaves like a retrieval assistant. You connect sources, the content is indexed behind the scenes, and users then ask questions the way they would ask a colleague. The company points to a live demo on the homepage and to a documented example: an integration with the Booster Framework documentation, an open source tool for accelerated backend development, which is presented as a way to simplify a complex onboarding process. That use case, ramping new joiners onto dense technical material, is a reasonable picture of the intended fit. Positioning-wise, PrivateGPT.io sits between consumer chat assistants and heavyweight enterprise search platforms. It is aimed at organizations rather than individuals, and the homepage is explicit that rollout is going to selected companies and institutions worldwide through an application form rather than instant self-serve signup. Teams that want a quick personal chatbot will find it heavy; teams that want a gated internal answer engine with permission awareness are the target. A companion guide and a separate LLM comparison site are linked for buyers still deciding which model underpins their deployment.

How do you use PrivateGPT.io?

  1. 1Read the private GPT guide first
    The site's guide explains how private GPT deployments handle company knowledge management with security and privacy. Reading it first clarifies whether the permission model matches how your organization shares documents.
    PrivateGPT.io — Read the private GPT guide first
  2. 2Try the live demo
    The homepage links a live demo so you can see the question and answer experience before any conversation with sales. Use it to judge response style and whether answers cite the source material.
    PrivateGPT.io — Try the live demo
  3. 3Check the Booster Framework example
    A featured project shows PrivateGPT layered onto open source framework documentation to simplify onboarding. It is the clearest public picture of how a real deployment is scoped.
  4. 4Submit an application through the contact form
    Rollout is limited to selected companies and institutions, so the homepage form is the entry point. Describe your sources, the teams involved and the access rules you need answers to respect.
  5. 5Connect sources and start asking
    Once accepted, you connect tools such as Notion, Slack, JIRA or GitHub and query in natural language. This stage happens inside the product after onboarding, so no public page covers it.

Pros and cons

Pros

  • Answers are drawn from connected internal sources such as Notion, JIRA, Slack, GitHub, Google Drive, MongoDB and ExcelAI
  • Customer data is stated not to be used for training AI, which removes a common blocker for internal rolloutAI
  • Permission awareness means staff only get answers about content they are already allowed to seeAI
  • A live demo and a documented Booster Framework onboarding integration show the product working on real materialAI
  • A linked guide and an LLM comparison site help buyers reason about model choice before committingAI

Cons

  • No published pricing, tiers or seat costs, so budgeting requires a sales conversationAI
  • Access is application based for selected companies, which rules out instant self-serve evaluationAI
  • The homepage gives no detail on deployment options, data residency or compliance certificationsAI
  • Search quality, latency and connector depth cannot be judged without a hands-on trialAI
  • Support channels, SLAs and onboarding effort are not described anywhere on the siteAI

How much does PrivateGPT.io cost?

Integrations

The homepage names Notion, JIRA, Slack, GitHub, Google Drive, MongoDB and Microsoft Excel as connectable sources, shown alongside the product logo. No full connector catalogue or API documentation is published.

Features

Connects to workplace sources including Notion, JIRA, Slack, GitHub, Google Drive, MongoDB and Microsoft Excel, then answers natural language questions over that content. Customer data is not used for AI training, and answers are scoped so people only see information they are permitted to access. A live demo and a published guide support evaluation.

Learn more

Frequently asked questions about PrivateGPT.io

  • How do you use PrivateGPT.io?
    The walkthrough on this page covers 5 steps: 1. Read the private GPT guide first 2. Try the live demo 3. Check the Booster Framework example 4. Submit an application through the contact form 5. Connect sources and start asking.
  • What platforms does PrivateGPT.io support?
    PrivateGPT.io is available on Web App.
  • What does PrivateGPT.io integrate with?
    The homepage names Notion, JIRA, Slack, GitHub, Google Drive, MongoDB and Microsoft Excel as connectable sources, shown alongside the product logo. No full connector catalogue or API documentation is published.
  • What are the limitations of PrivateGPT.io?
    No published pricing, tiers or seat costs, so budgeting requires a sales conversation. Access is application based for selected companies, which rules out instant self-serve evaluation. The homepage gives no detail on deployment options, data residency or compliance certifications.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid