Comparisons
promptev vs ChatGPT Enterprise and Claude Enterprise
In short
ChatGPT Enterprise and Claude Enterprise give each person an excellent assistant with no setup. promptev is infrastructure for the company: knowledge stays in step with the source systems, each answer is limited to what the asker may see, actions need approval and are audited, and agents answer in Slack, WhatsApp, a website widget and your own code. Choose an assistant for individual work. Choose promptev when the company needs one answer that respects who is asking. You can use both together through MCP.
An assistant helps one person. A company needs more than that: the same question from two people must give two different, correct answers, and nobody should have to upload files by hand.
Where an assistant is the better choice
- Individual work. Writing, analysis, code and research for one person, with no setup.
- The newest models first. The model makers ship their best models in their own products first.
- A simple decision. One product, one bill, for people who want a personal assistant.
Where promptev differs
- Knowledge stays in step with the source. Connected folders sync on their own. Nobody uploads files again when they change.
- Each person gets only what they may see. promptev carries the asker’s identity into the search. A file they cannot open is never read for them.
- Actions are governed. Agents act through tools you attach. Each tool has an approval rule, and every action is in the audit trail.
- Agents meet people where they work. The App, Slack, WhatsApp, a website widget, an API and SDKs.
- Your own model keys. More than 30 providers, including OpenAI and Anthropic, so you keep the choice of model for each agent.
- No seats. promptev has no seats and no plans. A new workspace gets 2,500 free credits with no card. After that a credit costs $0.005, and you buy from $5. The enterprise assistants are sold per seat and quoted through sales.
At a glance
| promptev | ChatGPT Enterprise, Claude Enterprise | |
|---|---|---|
| Made for | Agents for the whole company | An assistant for each person |
| Knowledge | Synced from your systems | Uploads and connectors, per person or project |
| Per-person permissions on shared knowledge | Yes, applied in the search | Depends on the connector |
| Approvals on actions, with an audit trail | Yes | Not the main purpose |
| Answers in Slack, WhatsApp and a website widget | Yes | In their own apps |
| Models | Your keys, 30+ providers | That vendor’s models |
| Pricing | Pay as you go, no seats | Per seat, quoted through sales |
Which to choose
Choose an assistant if individuals want help with their own work.
Choose promptev if the company needs agents on shared knowledge, with permissions, approvals and an audit trail.
Use both. Builders can create and publish promptev agents from inside Claude or ChatGPT through the workspace MCP, and those apps can call your agents.
Checked in September 2026 against each vendor’s own documentation. Products change: confirm the details with the vendor before you decide.
Frequently asked questions
Is promptev a ChatGPT Enterprise alternative?
For company-wide agents on company data, yes. For personal help with writing, analysis and code, an assistant such as ChatGPT or Claude is the better tool. Many teams use an assistant and promptev together.
Can I use promptev from inside Claude or ChatGPT?
Yes. promptev is an MCP server you sign in to. Add https://api.promptev.ai/mcp to Claude, ChatGPT, Cursor or another MCP client, and you can build, publish and use your promptev agents from that app, with your own permissions.
Does promptev use our data to train models?
No. promptev does not train models on your data. Agents run on the model providers you connect with your own keys, so your contract with each provider applies.
How is knowledge kept current?
You connect a source such as Google Drive or SharePoint and choose the folders. promptev keeps them in sync, so an answer uses the current version of a file and follows its current sharing.

Faisal Saeed is Founder & CEO of promptev, building next-gen context engineering infrastructure that enables teams to orchestrate, scale, and deploy production-ready generative AI systems with confidence.