Comparison
PrivateGPT vs ChatGPT and Microsoft Copilot
ChatGPT Enterprise and Microsoft Copilot are strong enterprise products in their own right. PrivateGPT is a different kind of solution: a standalone AI platform in your own Azure tenant with its own assistants, RAG sources, Skills and integrations. Here's a fair overview of where the four solutions overlap — and where they actually differ.
Feature / behov
PrivateGPTOur platform
ChatGPT EnterpriseOpenAI
Microsoft 365 CopilotMicrosoft
Copilot StudioMicrosoft
Hosting, data and governance
Hosting
Installed in the customer's own Azure tenant
Operated by OpenAI
Operated by Microsoft as part of M365
Operated by Microsoft / Power Platform
Data control
Full technical control in your own Azure environment
Strong enterprise controls — but not your own tenant
Subject to M365 security and compliance
Subject to Power Platform / Microsoft governance
Training on customer data
No — neither input nor output is used for model training
No for Enterprise/API by default
No — prompts and Graph data are not used to train foundation models
Follows Microsoft's enterprise data protection
EU data residency
EU by default, controlled by the customer
Depends on the agreement and setup
Follows M365 EU Data Boundary
Follows Microsoft / Power Platform data residency
Access management, governance and logging
Microsoft Entra ID, role-based access, environments and workspaces. Logs in your own setup (e.g. Sentinel, Log Analytics, Azure Monitor)
Enterprise admin with SSO, audit logs and compliance tools
Managed via Microsoft 365 admin, Purview and Entra ID
Managed via Power Platform admin and Entra ID
Platform and AI experience
Own AI platform
Yes — one AI platform for the entire organisation
Primarily a ChatGPT workspace
AI embedded in M365 apps, not an isolated platform
Agent platform within the Microsoft ecosystem
Specialised assistants
Yes — own sources, tools, instructions and access per assistant
Yes — via custom GPTs and workspace features
Limited to the Copilot experience inside apps
Yes — as agents with their own actions and knowledge
Skills and workflows
Yes — reusable workflows that combine RAG, model calls, APIs and tools
Partial via GPTs and agents features
Limited in the standard Copilot experience
Yes — agents combined with Power Automate flows
Finished outputs / artifacts
Yes — reports, tables, documents and files
Yes — via Canvas and code interpreter
Yes — directly in Word, Excel and PowerPoint
Yes — depending on the agent and flow
Custom UI and branding
Yes — your own user interface and branding
Delivered in ChatGPT's own UI
Delivered inside the M365 app UIs
Yes — agents can be embedded and branded in your own channels
Knowledge sources and RAG
Document RAG (uploaded files)
Yes — semantic search across uploaded documents
Yes — via file uploads and knowledge on GPTs
Yes — via Microsoft Graph and M365 context
Yes — via knowledge and connectors
SharePoint as knowledge base
Yes — semantic search in SharePoint respecting access rights
Possible via enterprise connectors
Yes — deeply integrated into M365
Yes — via the SharePoint connector
Web-page RAG (your own sites)
Yes — index your own websites as a knowledge source
Partial via browsing or custom connectors
Partial via web grounding in Copilot
Yes — via web connectors
Answers with source citations
Yes — with links to the source documents where relevant
Yes — citations for RAG answers
Yes — citations for M365 content
Yes — depending on agent configuration
Integrations and models
Outlook integration
Yes — plugin for summarising mail threads and drafting replies
Not native — can be built via API
Yes — deeply integrated in Outlook
Can be extended via connectors
Meeting recorder and minutes
Yes — audio recorder, transcription and structured minutes
Partial — depending on setup
Yes — particularly via Teams and M365
Can be built depending on setup
MCP integration (Model Context Protocol)
Yes — assistants can connect to MCP servers for tools and data
Yes — MCP supported in workspace/Enterprise
Limited by default in M365 Copilot
Yes — via connectors and actions
APIs to internal systems
Yes — direct integration via APIs and tools
Partial depending on enterprise setup
Limited by default
Yes — via Power Platform connectors
Multiple model providers and open source
Yes — multiple models, including open source
Primarily OpenAI models
Primarily OpenAI models via Microsoft
Primarily OpenAI/Azure OpenAI
SignaturforklaringPrivateGPT strength / fully supportedPartial or with caveatsFactual description of the approach
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