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Xinity is a sovereign AI infrastructure platform that allows European enterprises to run AI models on their own hardware with GDPR compliance and no cloud dependency. It provides an OpenAI-compatible API and includes both an open-source engine and an enterprise platform layer for governance and auditability.

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Sep 12, 2026

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A good fit for

  • European enterprises with strict data sovereignty and compliance requirements.
  • Organizations wanting to replace public LLM APIs with a self-hosted, compliant alternative.

Know the limitations

  • Requires owning or acquiring compatible GPU hardware; pricing assumes GPUs are already owned.
  • GDPR compliance of any self-hosted deployment is the sole responsibility of the deploying organization.

What you can do

  • Enterprises requiring sovereign AI infrastructure to comply with GDPR and EU AI Act regulations.
  • Organizations needing to run AI inference on-premise to avoid data leaving their premises and to reduce unpredictable cloud costs.

Features

  • OpenAI-compatible API that acts as a drop-in replacement for existing applications.
  • Role-based access control with single sign-on (SSO) and LDAP integration.
  • Per-request audit trail and full audit logging for compliance and regulatory control.
  • Prometheus-compatible metrics for monitoring and usage analytics.
  • Validated open-weight models available including Qwen3.8, Qwen3.6, Ministral 3, and EmbeddingGemma.

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

$0.00/month

1 of 1 tools could not be priced with these inputs, so this is not the full cost.

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A practical workflow

  1. Plan use cases, data residency, and hardware footprint in a 30-minute session to create a deployment plan.
  2. Operate by routing across models, monitoring requests, proving compliance, and scaling capacity without using the public internet.

Based on the sources below. Editorial review does not imply hands-on product testing.

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