Privatemode AI

Privatemode AI ensures secure, private AI interactions. Explore anonymous, encrypted AI solutions for confidential, bias-free results. Try now!

Privatemode AI: Private-by-design AI you can actually trust 🔐🤖

Privacy isn’t a perk; it’s a boundary. Privatemode AI is a generative AI service that keeps your data encrypted before it leaves your device, while it’s in transit, and even while the model is processing it—using hardware-based confidential computing, remote attestation, and a zero-access architecture hosted in the EU. Your prompts aren’t used for training, and the service is built so even the provider can’t see your data.

Overview 🌍

Privatemode AI offers two ways to use secure GenAI: a chat app for individuals and a developer-friendly API. Both enforce end-to-end encryption and verify integrity via cryptographic attestation, delivering cloud scalability with on‑prem‑like confidentiality—so you get modern AI without exposing sensitive data or breaking compliance boundaries.

Define the tools 🧰

  • Privatemode Chat (app) 🗣️: A secure assistant for content generation and document analysis that keeps business data private end to end.

  • Encryption Proxy + API 🧩: An OpenAI‑compatible API that encrypts data locally, verifies the backend via remote attestation, and runs on confidential-computing hardware (AMD SEV‑SNP, NVIDIA H100) for “always‑encrypted” processing.

  • Models 🎛️: Access to high‑quality models like Llama 3.3 70B (quantized), with additional models (e.g., DeepSeek R1) coming soon.

  • EU hosting and compliance 🏛️: Hosted in EU data centers, aligning with strict data protection standards and data sovereignty requirements.

Pros and cons ⚖️

  • ✅ Pros

    • End‑to‑end confidentiality: Data is encrypted in transit, at rest, and during processing, with verifiable attestation and zero‑access design.

    • Cloud agility, on‑prem confidence: Scale like the cloud while keeping prompts and outputs sealed from providers and admins.

    • No training on your data: The architecture prevents the model from retaining or learning from your inputs.

  • ⚠️ Cons

    • App requirement (for chat): You’ll need the client app for the full “encrypt-before-send” flow.

    • Model catalog still growing: Today’s lineup is strong but intentionally curated for security and performance1.

Key features 🌟

  • Always‑encrypted processing: Confidential computing keeps data encrypted even in main memory while the AI runs—paired with end‑to‑end attestation for integrity.

  • Zero‑access architecture: Built so no external party (including the provider) can access your content or conversations.

  • OpenAI‑compatible API: Drop‑in compatibility via the Encryption Proxy; switch with minimal code changes.

  • Hardware-backed trust: Remote attestation plus AMD SEV‑SNP and NVIDIA H100 confidential‑computing features underpin the trust model.

  • Performance and scale: Low latency with throughput exceeding 1,000 tokens/sec; transparent, usage‑based billing.

  • Model integrity verification: Hardware-issued certificates verify the service and model integrity for verifiable security posture.

  • EU data residency: Hosted in top-tier EU data centers for sovereignty and GDPR alignment.

Use cases & applications 🚀

  • Regulated industries: Safely deploy LLMs in healthcare, finance, public sector, and defense while keeping data encrypted end to end.

  • Secure content generation: Draft sensitive docs, policies, and briefs without exposing proprietary information.

  • Private data analysis: Analyze confidential datasets (contracts, financials, R&D) with clear technical boundaries against data leakage.

  • Developer integrations: Build privacy‑first copilots and RAG apps using an OpenAI‑compatible API and hardware‑backed attestation2.

  • Compliance enablement: Turn key technical controls for privacy/security into smoother compliance discussions and approvals.

Who is it for? 🎯

  • Privacy-first teams: Those who won’t trade confidentiality for convenience—legal, finance, healthcare ops.

  • CISOs and compliance leaders: When “no third party can access our prompts” is a hard requirement, not a slogan.

  • Developers and platform teams: Need an OpenAI‑compatible, production‑grade API with runtime encryption and remote attestation.

  • EU-based organizations: Companies prioritizing EU hosting and data sovereignty.

Pricing plans 💰

Plan Price What’s included Best for
Free €0 500k chat tokens/month; chat app; inference API; no card Individuals testing secure AI
Pay‑as‑you‑go €5 per 1M chat tokens Higher rate limits; transparent, usage‑based billing Teams moving to production
Enterprise Custom Custom SLAs; custom models; unlimited users; integration + multi‑channel support Regulated and large orgs

Note: Model pricing examples include Llama 3.3 70B at €5/1M tokens, Gemma 3 27B at €5/1M tokens, Whisper Large v3 at €0.096/MB audio, and multilingual‑e5 embeddings at €0.13/1M tokens. Cached input tokens may be discounted by 50%.

Find more & support 🧭

  • Get started: Download the chat app or run the Encryption Proxy, then use the OpenAI‑compatible endpoints with your API key.

  • Security & audits: Two independent security evaluations (pen‑test and architecture review) have confirmed the platform’s properties; reports available for enterprise on request.

  • Documentation & sales: Developer docs for the API/proxy and enterprise support (email, chat, phone) are available; hosting is EU‑based with hardware‑backed attestation for verifiable trust.

Want a version tailored to your stack and risk posture? Share your industry, data sensitivity, and primary workflows—I’ll sketch your minimum‑risk rollout plan with models, guardrails, and launch metrics.

Back to top