Privatemode AI - 2026 Pricing, Features, Reviews & Alternatives

Privatemode AI is a cloud-based AI inference service that processes prompts and responses exclusively inside confidential-computing environments, hosted in European Union data centers. Data is encrypted on the user's device before transmission, decrypted only within hardware-isolated enclaves during processing using AES-256 encryption enforced by AMD SEV-SNP, Intel TDX, and Nvidia Confidential Computing, and re-encrypted before being returned. Plaintext never appears on the provider's infrastructure at any stage, and neither operators, cloud providers, nor model vendors can access user data. No data is retained after a session, and the service never trains on user prompts.

The platform targets organizations in regulated industries that handle sensitive data, including life and health insurance, public sector agencies, legal tech providers, healthtech companies, logistics and freight, and software development teams. It supports inference across multiple large language models with reasoning, OCR, and vision capabilities; speech-to-text via Whisper and Voxtral models with multilingual detection; text embeddings with multiple output dimensions; file uploads for PDF and Microsoft Office documents up to 25 MB; prompt caching; and encrypted tool calling. Security properties are independently verifiable through hardware-backed remote attestation and public source code with reproducible builds.

Privatemode AI is accessible via a chat web app in any modern browser with no download required, a macOS desktop app with file upload support, and an OpenAI- and Anthropic-compatible API via a local proxy. It integrates with VS Code, JetBrains, GitLab Duo, n8n, Open WebUI, AnythingLLM, Mattermost, PrivateGPT, GPT4All, Zed, and others, allowing teams to embed private AI into existing workflows without re-engineering. Deployment is GDPR-compliant and audit-friendly. Pricing is usage-based with a free tier requiring no credit card; an enterprise tier adds SSO, SLAs, custom models, and dedicated integration support.