And now, the face-off!
Hyper vs. ChatGPT
ChatGPT is a general AI assistant for almost any question. Hyper is an AI agent built for work: it learns your company from the tools you connect, and gets work done in them.
At a glance
| Feature | Hyper | ChatGPT |
|---|---|---|
| Connects to your work tools | 60+ tools, from Google and Microsoft to Slack, Salesforce, and GitHub | Apps such as Gmail, Google Drive, Slack, Notion, Linear, and GitHub |
| Takes actions in your tools | Asks first, unless you allow a kind of action for good | Write actions, which workspace admins control |
| Searches across your connected tools | One knowledge base of all your tools, kept up to date, searched in milliseconds | Company knowledge looks across your connected apps |
| AI models | Frontier models from different providers, your choice | OpenAI models |
| Keeps business data out of model training | Never trains on your data, and does not let its AI providers train on it | Business data is excluded from training by default |
From each maker's public pages, as of October 30, 2026.
Where Hyper is different
All your work, in one place.
Connect and search across 60+ tools, including Google and Microsoft. See every integration.
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You’re in the driver’s seat.
Choose when Hyper asks before taking action.
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Review it. Send it. Done.
This AI speaks human.
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Pick your AI.
Choose from models by different providers.
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Your knowledge, your choice.
Decide what stays private and what your team can see.
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Grow together.
Start solo and invite your team when you’re ready.