Privatemode AI

Always encrypted AI chat, API and coding for sensitive data

Intermediate API
Screenshot of Privatemode AI, Always encrypted AI chat, API and coding for sensitive data

What is Privatemode AI?

Privatemode AI is an AI chat bot tool. Confidential AI chat, API, coding agents and Office integration where data stays encrypted even during model processing, verified through hardware attestation and external audits. Aimed at insurers, public agencies, legal teams and healthcare organizations that handle regulated data.

Privatemode AI is a confidential AI service built on confidential computing. Data is encrypted on the user's device before it is sent, and it stays encrypted while the model processes it on the provider side, so prompts and documents are never handled in plaintext on a server. Hardware-based certificates (remote attestation) let customers verify that the backend is running the software it claims to run, and external audits plus pen tests back that claim. The vendor positions this against two common alternatives: mainstream chatbots, which offer only contractual privacy promises, and self-hosted models, which demand dedicated hardware and in-house ML operations. The product comes in four entry points. A web chat at chat.privatemode.ai covers everyday conversations. An API with a small SDK snippet gives developers the same protected inference inside their own applications. A confidential coding setup plugs into agents and editors including Claude Code, OpenCode, Zed, VS Code and Xcode. An Office integration brings AI into Excel, Word and PowerPoint for documents that cannot leave the organization. Requests run on open frontier models from Z.ai (GLM), OpenAI (GPT-OSS), Qwen, Mistral and DeepSeek, and the available models are listed on the site. Privatemode is aimed at regulated and privacy-sensitive organizations rather than casual users. The site names insurers, public agencies, law firms, legal tech providers and health tech companies, and it publishes dedicated pages for insurance, the public sector, legal teams and healthcare. Compliance material is part of the pitch: the service is described as meeting BSI C5:2026 criteria for very strong attestation, and a review by an advisory firm recommends it for professions bound by professional secrecy under StGB §203, including doctors, lawyers and tax advisors. Named customers and partners include Airbus, the City of Munich IT department, Capgemini, Nvidia, GitLab, Bechtle, ID, eperi and Voloptimus, with case studies on the site. In practice it competes with private cloud deployments and self-managed model hosting. It removes the infrastructure burden of the latter while offering technical rather than purely contractual privacy guarantees compared with consumer AI services. Buyers who want on-premise control, or who need a provider outside the hosted model, still have reasons to look elsewhere.

How do you use Privatemode AI?

  1. 1Create a Privatemode account
    Sign up through the portal with your details to get access to the chat and the API console. The same account governs chat usage and API keys.
    Privatemode AI — Create a Privatemode account
  2. 2Open the confidential chat
    Go to chat.privatemode.ai and start a conversation. Prompts are encrypted on your device before transmission and stay encrypted during processing.
    Privatemode AI — Open the confidential chat
  3. 3Generate an API key
    From the portal, create an API key and store it as an environment variable in your project. The homepage sample uses PRIVATEMODE_API_KEY.
  4. 4Send a first API request
    Install the privatemode-ai package and call the chat completions endpoint with a model name such as glm-latest and a user message. The request shape mirrors common OpenAI-style SDKs.
  5. 5Connect a coding agent or editor
    Install the confidential coding setup for Claude Code, OpenCode, Zed, VS Code or Xcode so assistant requests from inside the editor route through Privatemode.
    Privatemode AI — Connect a coding agent or editor
  6. 6Review the security model before rollout
    Read how runtime encryption and remote attestation work, and request audit documentation if your compliance team needs evidence beyond the public pages.
    Privatemode AI — Review the security model before rollout

Pros and cons

Pros

  • Encryption is applied before data leaves the device and holds during processing, which is a stronger model than contractual privacy clausesAI
  • Remote attestation with reproducible builds and transparency logs lets technical teams verify the backend themselvesAI
  • Multiple open frontier models (GLM, GPT-OSS, Qwen, Mistral, DeepSeek) available through one serviceAI
  • Covers chat, API, IDE coding agents and Excel, Word and PowerPoint, so non-developers and engineers share one backendAI
  • Published compliance work including BSI C5:2026 attestation and a professional secrecy review for regulated professionsAI

Cons

  • No pricing figures appear on the homepage, only the phrase usage-based, so budgeting requires a sales conversationAI
  • Model catalog is limited to a fixed set of open models, with no sign of the closed frontier models some teams standardize onAI
  • Verification depends on trusting attestation infrastructure and audit reports, which most non-technical buyers cannot evaluate aloneAI
  • Self-managed hosting remains the only path for organizations that cannot send data to any external operatorAI
  • Heavy focus on European regulated sectors, with less visible material for other compliance regimesAI

How much does Privatemode AI cost?

Pricing

The homepage describes costs as usage-based but publishes no rates, tiers or plan names. Pricing appears to be arranged through a sales conversation, and a demo can be booked from the site.

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Support

A demo can be booked from the site, and audit and compliance documentation can be requested through a dedicated form. Technical documentation lives on docs.privatemode.ai, but no support tiers or SLAs are stated on the homepage.

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Integrations

Coding agents and editors (Claude Code, OpenCode, Zed, VS Code, Xcode), Microsoft Office apps through the Office integration, and an API for custom applications. Model access covers Z.ai, OpenAI, Qwen, Mistral and DeepSeek.

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Features

Encrypted chat at chat.privatemode.ai, an API with an SDK snippet, confidential coding for Claude Code, OpenCode, Zed, VS Code and Xcode, and AI inside Excel, Word and PowerPoint. Models include Z.ai GLM, OpenAI GPT-OSS, Qwen, Mistral and DeepSeek. Security rests on runtime encryption, hardware-based remote attestation, open source reproducible builds, transparency logs and external audits.

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Frequently asked questions about Privatemode AI

  • How much does Privatemode AI cost?
    The homepage describes costs as usage-based but publishes no rates, tiers or plan names. Pricing appears to be arranged through a sales conversation, and a demo can be booked from the site.
  • Does Privatemode AI have an API?
    Yes, Privatemode AI offers an API.
  • How do you use Privatemode AI?
    The walkthrough on this page covers 6 steps: 1. Create a Privatemode account 2. Open the confidential chat 3. Generate an API key 4. Send a first API request 5. Connect a coding agent or editor 6. Review the security model before rollout.
  • What platforms does Privatemode AI support?
    Privatemode AI is available on Web App and Browser extension.
  • What does Privatemode AI integrate with?
    Coding agents and editors (Claude Code, OpenCode, Zed, VS Code, Xcode), Microsoft Office apps through the Office integration, and an API for custom applications. Model access covers Z.ai, OpenAI, Qwen, Mistral and DeepSeek.
  • What are the limitations of Privatemode AI?
    No pricing figures appear on the homepage, only the phrase usage-based, so budgeting requires a sales conversation. Model catalog is limited to a fixed set of open models, with no sign of the closed frontier models some teams standardize on. Verification depends on trusting attestation infrastructure and audit reports, which most non-technical buyers cannot evaluate alone.

Status

StatusActive
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Added10/22/2026

Platforms

Web AppBrowser extension

Pricing

Paid