Private GPT vs ChatGPT: the honest comparison
ChatGPT is a great product. It is also a public one. If your team handles client names, contracts, or financials, here is what changes when you move to a private ChatGPT alternative you actually own.
| ChatGPT / ChatGPT Team | Private GPT | |
|---|---|---|
| Where your data lives | OpenAI's shared infrastructure | Your dedicated Azure environment |
| Data used for training | Depends on plan and settings | Never, contractually and architecturally |
| AI models available | OpenAI models only | Claude, GPT, Gemini and 30+ models |
| Knows your business | Only what each user pastes in | Connected to your documents and systems |
| Access control | Every user sees the same tool | Role based, mirrors your org chart |
| Audit trail | Limited | Full usage visibility |
| Branding | OpenAI's | Your logo, your domain |
| Custom workflows | Generic GPTs | Built around your actual processes |
| Setup and support | Self serve | White glove deployment and ongoing management |
| Pricing model | $25 to $30 per user/month | Platform fee from $500/month plus per seat |
When ChatGPT Team is enough
If your team never touches client data, does not answer to anyone about security, and only needs a generic assistant for writing and brainstorming, ChatGPT Team is a reasonable buy. We would rather tell you that than sell you something you do not need.
When you have outgrown it
The moment client contracts, financials, proposals, or employee records enter the picture, the calculus flips. You need answers grounded in your documents, permissions that mirror your org chart, and a straight answer for the client who asks where their data goes. That is a private deployment. It is also the point where AI stops being a toy and starts being infrastructure.
See what that looks like in practice on the deployment walkthrough, check the security architecture, or go straight to per seat pricing.
Questions people ask before switching
Is ChatGPT safe for business data?
Consumer ChatGPT can retain conversations and, depending on settings, use them to improve models. ChatGPT Team improves on this but still runs on shared infrastructure with no connection to your systems, no role based access, and a single vendor's models. For businesses handling client data, a private deployment removes the ambiguity: your data stays in your environment and never trains any model.
What is the best private ChatGPT alternative for a company?
The strongest option is a dedicated private AI deployment: a branded assistant in your own cloud environment that connects to your documents, enforces role based access, and lets you use every major AI model rather than one vendor. That is exactly what Private GPT is, deployed for you in about two weeks by HummingAgent AI.
Can I keep using GPT models in a private deployment?
Yes. Private GPT includes OpenAI's GPT models alongside Claude, Gemini, and open source options, all through zero retention enterprise APIs. You do not have to give up the models your team likes. You just stop giving up your data to use them.
Do I have to migrate my team off ChatGPT all at once?
No. Most teams switch naturally within a week because the private assistant does everything ChatGPT did, plus it knows their business. Once leadership sees usage move, many companies then shut off the sanctioned public accounts.
See both side by side
Book a demo and bring your ChatGPT workflow. We will show you the same tasks running in a private environment that knows your business.