Private AI chat for sensitive business data
Privatemode gives teams access to leading AI models for confidential workflows, without exposing prompts, files, code, or responses to the AI provider.
Looking for a ChatGPT alternative for sensitive business data?
Privatemode is built for teams that want AI productivity but cannot send confidential information into standard AI tools.
- Data privacy
- Compliance
- Setup time
- Costs
Privatemode
Cloud-grade AI with end-to-end encryption and confidential computing. Built for business and enterprise teams whose data must stay inaccessible to the AI provider — enforced by confidential computing, not policy.
- Hardware-enforced
- Verifiable guarantees
- Minutes
- Usage-based
ChatGPT
Powerful AI, but prompts, files, and code are processed in plaintext on OpenAI's servers, with no verifiable privacy guarantees.
- Contractual only
- Limited
- Minutes
- Usage-based
Self-hosted AI
Full data control, but requires dedicated hardware, in-house ML ops, and ongoing maintenance.
- Your responsibility
- Your responsibility
- Weeks to months
- High upfront and recurring
How it works
Data protection
Your prompts, files, code, and responses never leave your control.
Nothing is exposed to the AI provider
Prompts, uploaded files, source code, and model responses are encrypted on your device and processed only inside hardware-isolated confidential-computing environments. The cloud, the model provider, and Privatemode itself never see your plaintext, and nothing is stored or used for training.
Compliant by design
Because sensitive data is never exposed in plaintext, teams in finance, healthcare, legal, and the public sector can use modern AI while meeting strict data-protection and compliance requirements like the GDPR. Hosted in the EU.
Leading models, familiar workflow
Use state-of-the-art models through a familiar chat interface and an OpenAI-compatible API. Switch models as your use cases evolve, without ever exposing business-critical data to model providers.
Access leading AI models without exposing your data.
Confidential AI Chat built for regulated environments
Privatemode pairs high‑performance LLMs with end‑to‑end encryption and confidential computing, so your prompts stay private even during processing.
LLMs you can use with Privatemode
Kimi-K2.6 for advanced reasoning
Most capable model on Privatemode, combining advanced reasoning with vision support. Ideal for complex analysis, coding, and multimodal tasks.
gpt‑oss‑120b for everyday work
High-reasoning, general-purpose model with strong tool use and long-context support. Ideal for knowledge work, coding, and analysis.
Voxtral Mini 3B for transcribing
Fast speech recognition model from Mistral AI with automatic multilingual language detection. Ideal for transcription of meetings and voice recordings.
Security and compliance, built‑in
End‑to‑end confidential computing
Data is encrypted on your device, in transit, and inside CPU/GPU enclaves during processing, so plaintext never appears outside hardware‑protected environments.
Verifiable attestation
Hardware‑backed attestation proves that only the confidential service and approved models are running before any prompt is processed.
EU hosting and GDPR alignment
Privatemode is hosted in top‑tier data centers in the European Union and designed to support GDPR‑compliant, audit‑friendly AI deployments.
ChatGPT alternative
Frequently asked questions
Standard AI chat tools process your prompts, files, and code in plaintext on the provider's servers, so you have to trust their policies. Privatemode keeps the same familiar chat experience but encrypts your data end-to-end and processes it only inside hardware-isolated confidential-computing environments. The AI provider, the cloud operator, and Privatemode itself are technically unable to read your data, and you can verify this rather than relying on a contractual promise.
Use the Privatemode Chat in your browser
Use AI with full data privacy directly in your browser. No sign up. No download. No costs.
Privatemode provides E2E confidentiality
Trusted by security-critical teams at enterprises and public institutions
