NEWPromptev MCP Server: one URL for every tool, every agent and your team’s knowledge. Connect Claude Code, Cursor, or any MCP client.→

Deployment

Runs where you decide.

Promptev runs your agents on Promptev cloud with your own AI model keys, and lets you keep files in your own storage bucket and the search index in your own database, so your data stays in accounts you control.

Your cloud

  • Google Drive
  • SharePoint
  • Slack

Your AI modelon your own keys

Promptev enginereads, searches, answers

Your storageyour own bucket

Your databasethe search index

Your teamgets the answer, nothing else

The fullest setup: the engine, your AI model, your storage and your database inside your own cloud, and only the answer leaves. On Promptev cloud today, the model, the storage and the database can already be your own. To run the engine in your own cloud too, talk to us.

How it works

Three choices, all yours.

  1. Step 1

    Bring your AI models and keys

    Add your own API keys for OpenAI, Anthropic, Google Gemini or DeepSeek and choose a model for each agent. Your agents’ model calls go to your provider on your account, so its terms and your billing apply.

    Switch AI models without rebuilding a single agent.

    Then decide where your files live.

  2. Step 2

    Keep files in your own storage

    Files live in managed storage by default. Connect your own Amazon S3 (or S3-compatible), Google Cloud Storage or Azure Blob Storage bucket instead, and every file moves with it.

    Your files sit in a bucket you own.

    The search index can be yours too.

  3. Step 3

    Keep the search index in your database

    Promptev manages the index of your documents for you, or you point it at your own PostgreSQL database with your own embedding model. The knowledge graph is stored in that same database, and you can add your own reranker if you want one.

    What Promptev learns from your documents stays in your database.

Where your data lives

Plain facts, no fine print.

Need it inside your own environment? Talk to us.

Example

A legal team that keeps its own keys.

A law firm runs its contract agents on its own Anthropic account, so model usage appears on its own bill under its own terms. Matter files sit in the firm’s Azure storage, and the search index in its own PostgreSQL database.

When the firm later tries a different model for one agent, it changes one setting. The agent, its knowledge and its approvals stay as they were.

Questions

Plain answers.

Which AI models can I use?

Models from OpenAI, Anthropic, Google (Gemini) and DeepSeek, on your own API keys. Each agent can use a different model, and you can change it later without rebuilding the agent.

Where is my data stored?

On Promptev cloud, which runs on Google Cloud in the United States (us-east4). Files can live in your own Amazon S3, Google Cloud Storage or Azure Blob Storage bucket instead, and the search index in your own PostgreSQL database.

Does Promptev train AI models on my data?

No. Promptev does not use your content to train its own models or anyone else’s without your explicit opt-in. Model calls made on your keys follow your agreement with your AI provider.

How long do you keep conversation files?

You choose: 30, 60, 180 or 365 days, or forever if the files are in your own bucket. Your knowledge documents are not affected by this setting.

Can Promptev run inside our own environment?

Promptev cloud is the standard way to run it, with your models, storage and database connected as above. If you need Promptev inside your own environment, talk to us.

Try it on your own documents.

2,500 free credits to start. No card, no seats.

2,500 free credits · No card required · No subscription