Tool Introduction

Privatemode AI is a generative AI platform built by Edgeless Systems, a German cybersecurity company focused on confidential computing. It helps organizations use AI securely without risking sensitive data. Unlike traditional services that rely on trust and contracts, Privatemode AI uses hardware-based encryption to keep all data inaccessible—even during processing. This protects against leaks or misuse, even if infrastructure is compromised. Designed for regulated industries like finance and healthcare, the platform offers both chat and API access to secure generative AI.

Demo Available?

Privatemode AI offers a 14-day free trial for both the chat app and API with instant access after email signup.

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Detailed Overview

Privatemode AI delivers encrypted generative AI via chat and API using confidential computing.

What [Privatemode AI] Does

Privatemode AI enables secure generative AI interactions through a web-based chat app and programmable API. It uses confidential computing to ensure inputs, processing, and outputs remain encrypted throughout. The platform supports open-source models like Meta Llama 3.3. After email registration, users gain immediate access with no complex setup required. Its API functions as a drop-in replacement for other popular services, simplifying integration into existing systems.

Who [Privatemode AI] is for

Privatemode AI serves teams working with regulated or proprietary data who need strong privacy guarantees. It's designed for financial firms, hospitals, government agencies, legal departments, and compliance teams. Data scientists can also use it to fine-tune models securely. Any business needing strict control over data exposure will benefit from its protections.

Top Differentiators

Uses AMD EPYC CPUs and Nvidia H100 GPUs for encrypted processing.
Keeps all data hidden from providers—even during runtime.
Prevents data retention or model training on user content.
Supports open-source models for transparency.
Usable via web or API immediately after signup.
Will release core code publicly on GitHub.
Built in Europe to meet EU privacy standards.

Founding Year

2025

Target Industry

B2B, Financial Services, Healthcare and Life Sciences, Public Sector and Government, Legal and Compliance, Technology and Intellectual Property-driven Enterprises

Available Integrations

Privatemode AI API: Enables secure integration into custom workflows with end-to-end encryption and confidential computing for protected data handling.
Meta Llama 3.3: Available through chat or API, offering open-source model support without external SaaS tool dependencies.
DeepSeek R1: Announced as a supported model, accessible via the same secure channels for organizations needing privacy-first AI access.

Privatemode AI offers free signup and immediate access after email registration. No other pricing details are provided.

Pricing last verified: 01/23/2026
Official Source: https://www.privatemode.ai/pricing
Disclaimer: Pricing is subject to change. Please confirm current pricing on the vendor site.

Features & Specs

Confidential Computing: Runs inside secure hardware environments using AMD EPYC CPUs and Nvidia H100 GPUs.
End-to-End Encryption: Data remains encrypted at every stage—input, processing, output—visible only to the authorized user.
Chat Application: Provides an encrypted web interface similar to ChatGPT but with added security measures.
API Access: Developer-friendly API mimics major platforms like OpenAI for easy workflow integration.
Model Support: Launches with Meta Llama 3.3; future support includes DeepSeek R1. Focuses on open-source options.
No Data Retention: No user content is stored or reused; the model cannot remember previous inputs.
Source Availability: Plans to publish core codebase on GitHub enable third-party audits of security claims.
Deployment: Cloud-hosted service activates after simple email registration with no technical setup needed.
Performance: Uses powerful GPUs (Nvidia H100) designed for fast inference times across workloads.

Security & Compliance

Data is processed in confidential computing environments using AMD EPYC CPUs and Nvidia H100 GPUs. All information remains end-to-end encrypted, including during computation (“encryption-in-use”). No user data is retained or used for model training. The AI cannot remember or leak information due to enforced technical constraints. Operated by a German company, Privatemode AI aligns with EU data protection regulations. The core program code will be made source available for transparency.

Industry Use-Cases

Financial Services

Privatemode AI lets you analyze customer data, detect fraud, or assess risk without exposing information. You can also fine-tune models on proprietary strategies safely within its encrypted environment.

Healthcare and Life Sciences

You can use Privatemode AI to process patient records or research data while meeting HIPAA and GDPR standards. The encrypted system protects privacy across clinical and pharmaceutical workflows.

Public Sector and Government

Privatemode AI helps automate document reviews and case analysis involving sensitive or classified material. All data remains fully encrypted during processing, supporting national security compliance.

Legal and Compliance

Legal teams can review contracts securely using Privatemode AI’s automated tools. Compliance officers can integrate the API to monitor transactions without risking exposure of regulated information.

Tool's Alternatives

Google Workspace
Includes generative AI tools across email and documents, enabling collaborative workflows. It relies on software-based privacy controls rather than hardware-level confidential computing.

Notion
Offers Notion AI for in-app content generation and task management. Its flexible workspace helps teams automate work but lacks Privatemode AI's hardware-enforced data privacy.

Qypt AI
Delivers private document search using on-device processing. Its local-first design limits cloud exposure but may not match the scale or flexibility of Privatemode AI's architecture.

SkimAI
Focuses on email automation with Gmail and Outlook integrations. It supports privacy-focused communication but covers a narrower range of use cases than Privatemode AI.

Azure Confidential Ledger
Uses blockchain and confidential computing to ensure tamper-resistant records. It emphasizes data integrity over generative tasks, offering partial overlap with Privatemode AI's focus.

Frequently Asked Questions

What pricing plans does Privatemode AI offer for users?
The chat app costs €20 per user monthly with a 14-day free trial. The API is €5 per 1 million tokens after a free test phase with 1 million tokens included.

How does Privatemode AI protect sensitive enterprise data?
It uses confidential computing to keep all inputs, outputs, and processing encrypted. Data stays invisible to providers, and no user content is stored or used for model training.

What models are supported by the platform?
Privatemode AI supports open-source models like Meta Llama 3.3 and DeepSeek R1 through both chat and API access.

Who typically uses Privatemode AI in business environments?
It's designed for financial firms, hospitals, government agencies, legal departments, and compliance teams needing strict data privacy during generative AI tasks.

Is any technical setup needed to start using the service?
No setup is required. After email registration, users get instant access to the encrypted web chat or API without additional configuration.

How can developers integrate Privatemode AI into existing systems?
The API mimics popular platforms like OpenAI’s, allowing developers to replace services easily while gaining end-to-end encryption and confidential computing protections.

Does Privatemode AI retain or reuse user inputs?
No. The platform enforces zero data retention. It cannot remember previous interactions or use inputs for model training at any point.

What kind of encryption does the platform use during processing?
Privatemode AI applies end-to-end encryption with hardware-based confidential computing using AMD EPYC CPUs and Nvidia H100 GPUs during all stages of data handling.

Is the source code available for review or audits?
Yes. The core codebase will be published on GitHub to allow third-party reviews of its security architecture and claims.

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Privatemode AI

Confidential Generative AI—Secure Data, Trusted Intelligence.