IN THE FIELD GUIDE
xinity
xinity.ai
Xinity offers a sovereign AI infrastructure platform that runs AI models on-premise on your own hardware, ensuring GDPR compliance and data sovereignty. It provides an OpenAI-compatible API for easy integration 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 27, 2026
A good fit for
- European enterprises with strict data sovereignty and compliance requirements.
- Organizations wanting to replace public LLM APIs with a sovereign endpoint on their own hardware.
Know the limitations
- The platform requires you to have your own GPUs or 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 the EU AI Act.
- Organizations needing to run AI inference on-premise to avoid data leaving their premises and to maintain compliance.
Features
- OpenAI-compatible API that acts as a drop-in replacement for existing applications.
- Role-based access control and single sign-on for secure and governed access.
- Per-request audit trail for compliance and transparency.
- Multi-model routing across local GPUs to optimize hardware usage.
- Self-hosting capability on laptops, servers, or clusters for flexible deployment.
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.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No plans published in USD. Switch currency to see this tool's prices. | |||
A practical workflow
- Plan: Map use cases, data residency, and hardware footprint in a 30-minute session to create a deployment plan.
- Deploy: Engine and Platform ship together; hardware is racked onsite or guided for setup; applications point to the new OpenAI-compatible endpoint.
- Operate: Route across models, monitor requests, prove compliance, and scale capacity without using the public internet.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
Filter alternatives →Candidates based on category and primary feature. Check feature and pricing differences before switching.
Plan a switch from xinity →What changed
1 recorded change · latest 9/27/2026
Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.
Updated: best for, features, limitations, plans, sources, summary, use cases, walkthrough
See recorded changes
bestForBefore: ["European enterprises with strict data sovereignty and compliance requirements.","Organizations wanting to replace public LLM APIs with a self-hosted, compliant alternative."]
After: ["European enterprises with strict data sovereignty and compliance requirements.","Organizations wanting to replace public LLM APIs with a sovereign endpoint on their own hardware."]
featuresBefore: ["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."]
After: ["OpenAI-compatible API that acts as a drop-in replacement for existing applications.","Role-based access control and single sign-on for secure and governed access.","Per-request audit trail for compliance and transparency.","Multi-model routing across local GPUs to optimize hardware usage.","Self-hosting capability on laptops, servers, or clusters for flexible deployment."]
limitationsBefore: ["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."]
After: ["The platform requires you to have your own GPUs or hardware; pricing assumes GPUs are already owned.","GDPR compliance of any self-hosted deployment is the sole responsibility of the deploying organization."]
plansBefore: [{"name":"Community","note":"Automatically extracted from the linked pricing source. Team allowances are unconfirmed; flat and free estimates are limited to one person. Confirm usage, taxes and terms with the provider.","annual":0,"monthly":0,"perSeat":false,"currency":"EUR","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false},{"name":"Enterprise","note":"Contact the provider for a quote.","annual":null,"monthly":null,"perSeat":false,"currency":"EUR","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false}]
After: [{"name":"Community","note":"Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":0,"monthly":0,"perSeat":false,"currency":"EUR","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false},{"name":"Enterprise","note":"Contact the provider for a quote.","annual":null,"monthly":null,"perSeat":false,"currency":"EUR","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false}]
sourcesBefore: [{"url":"https://xinity.ai/","label":"Sovereign AI Infrastructure for European Enterprises"},{"url":"https://xinity.ai/sovereign-ai-pricing","label":"Pricing: Sovereign AI Infrastructure Software | Xinity"},{"url":"https://xinity.ai/sovereign-ai-platform","label":"Xinity Runtime: Sovereign AI Platform | Xinity"},{"url":"https://xinity.ai/xinity-opensource","label":"Xinity Open Source: AI Inference Engine | Xinity"}]
After: [{"url":"https://xinity.ai/","label":"Sovereign AI Infrastructure for European Enterprises"},{"url":"https://xinity.ai/sovereign-ai-pricing","label":"Pricing: Sovereign AI Infrastructure Software | Xinity"},{"url":"https://xinity.ai/xinity-opensource","label":"Xinity Open Source: AI Inference Engine | Xinity"}]
summaryBefore: "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."
After: "Xinity offers a sovereign AI infrastructure platform that runs AI models on-premise on your own hardware, ensuring GDPR compliance and data sovereignty. It provides an OpenAI-compatible API for easy integration and includes both an open-source engine and an enterprise platform layer for governance and auditability."
useCasesBefore: ["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."]
After: ["Enterprises requiring sovereign AI infrastructure to comply with GDPR and the EU AI Act.","Organizations needing to run AI inference on-premise to avoid data leaving their premises and to maintain compliance."]
walkthroughBefore: ["Plan use cases, data residency, and hardware footprint in a 30-minute session to create a deployment plan.","Operate by routing across models, monitoring requests, proving compliance, and scaling capacity without using the public internet."]
After: ["Plan: Map use cases, data residency, and hardware footprint in a 30-minute session to create a deployment plan.","Deploy: Engine and Platform ship together; hardware is racked onsite or guided for setup; applications point to the new OpenAI-compatible endpoint.","Operate: Route across models, monitor requests, prove compliance, and scale capacity without using the public internet."]
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