Private AI Tools Directory — 50+ GDPR-Compliant Solutions for European Businesses

Choosing a private AI tool in 2026 means navigating a landscape that barely existed two years ago. Open-source models have reached production quality. European managed platforms have matured. Cloud providers have added EU data residency options. The options are real — but so is the complexity of comparing them.

This directory cuts through the noise. We have catalogued over 50 tools and platforms that allow European businesses to use generative AI without sending data to servers they do not control. Every entry is evaluated on the same criteria: deployment model, data residency, GDPR readiness, AI Act compatibility, and practical suitability for business use.

How to use this directory: Find your category below, compare options, and shortlist the tools that match your technical capacity and compliance requirements. Each entry includes the information you need to make a first-pass decision. For deeper analysis of specific solutions, follow the links to our dedicated reviews and guides.

Managed private AI platforms

Managed platforms install on your infrastructure (on-premise or private cloud) but the vendor handles deployment, configuration, updates, and support. You get private AI without building the stack yourself.

ORCA by HT-X

Type	Managed on-premise platform
Hosting	Your servers or European private cloud
Models	Llama 3, Mistral, DeepSeek, Qwen 3.5, and others
GDPR	Compliant by architecture — data never leaves your infrastructure
AI Act	Open-source models provide full transparency and auditability
Languages	Interface in Italian, English, German; models support 20+ languages
Best for	European SMEs and mid-market companies needing production-ready private AI
Website	ht-x.com/orca/

ORCA is a turnkey AI platform that runs entirely within your infrastructure. It provides a ChatGPT-like interface for chat, document analysis, and knowledge-base queries, with multi-model support so you can choose the best model for each task. RAG (Retrieval-Augmented Generation) lets users query company documents — contracts, manuals, internal wikis — without data ever leaving the perimeter. Audit trail and access controls are built in.

Disclosure: ORCA is developed by HT-X S.r.l., the company behind Private AI Europe. We include it because it is relevant to this directory, but we flag the relationship so you can weigh accordingly. {#disclosure}

Aleph Alpha (PhariaAI)

Type	Managed cloud / on-premise
Hosting	German data centers; on-premise option available
Models	Pharia (proprietary), plus open-source model support
GDPR	Compliant — German company, EU hosting
Best for	Large enterprises, public sector, regulated industries
Website	aleph-alpha.com

German AI company focused on sovereign AI for enterprise and government. Strong in the DACH market, with clients in defence, public administration, and financial services. Higher price point than most alternatives, aimed at enterprise-grade deployments.

Dust

Type	Managed platform (cloud)
Hosting	EU data centers
Models	Multi-model (GPT-4, Claude, Mistral)
GDPR	DPA available; EU hosting
Best for	Teams needing AI assistants connected to internal tools (Slack, Notion, Google Drive)
Website	dust.tt

French company building AI assistants that plug into company workflows. Connects to Slack, Notion, Google Drive, and other workplace tools. Uses multiple models via API. Data processing in the EU, but relies on third-party model providers.

Mistral AI (La Plateforme)

Type	Cloud API / self-hosted models
Hosting	French/EU data centers (cloud); self-hosted option with open-weight models
Models	Mistral Large, Mistral Medium, Mistral Small, Codestral, open-weight variants
GDPR	Compliant — French company, EU infrastructure
Best for	Companies wanting a European alternative to OpenAI’s API, or self-hosting Mistral models
Website	mistral.ai

Paris-based AI lab offering both commercial API access and open-weight models you can run yourself. The API runs on EU infrastructure. The open-weight models (Mistral 7B, Mixtral, Mistral Small) can be deployed on-premise for full data sovereignty. Strong multilingual performance, especially for European languages.

Open-source inference toolkits

These tools let you run LLMs on your own hardware. You download the model, install the software, and serve inference locally. Maximum control, but you own the entire operations stack.

Ollama

Type	Open-source inference engine
Hosting	Self-hosted (your hardware)
Models	Llama 3, Mistral, DeepSeek, Qwen, Gemma, Phi, 100+ others
GDPR	Yes — runs entirely on your infrastructure
Best for	Developers and small teams getting started with local LLMs
Website	ollama.com

The simplest way to run LLMs locally. One-command install, model library with 100+ pre-configured models, REST API for integration. Runs on macOS, Linux, and Windows. Ideal starting point, but limited enterprise features (no built-in user management, audit trail, or RAG).

vLLM

Type	Open-source inference engine
Hosting	Self-hosted (GPU server)
Models	Most Hugging Face models
GDPR	Yes — runs on your infrastructure
Best for	Production deployments needing high throughput and multi-user concurrency
Website	vllm.ai

High-performance inference engine optimised for throughput. PagedAttention technology allows efficient memory management, supporting more concurrent users per GPU. OpenAI-compatible API makes it a drop-in replacement for OpenAI endpoints. The go-to choice for serious production deployments — but requires GPU hardware and DevOps expertise.

llama.cpp

Type	Open-source inference library
Hosting	Self-hosted (runs on CPU and GPU)
Models	GGUF-format models (Llama, Mistral, and many others)
GDPR	Yes — fully local
Best for	Running models on consumer hardware, edge deployments, CPU-only servers
Website	github.com/ggml-org/llama.cpp

C/C++ implementation that runs LLMs efficiently on CPUs — no GPU required, though GPU acceleration is supported. Enables running models on hardware that would otherwise be too limited. Core engine behind many desktop apps (LM Studio, Jan, GPT4All).

LocalAI

Type	Open-source API server
Hosting	Self-hosted
Models	LLMs, image generation, audio, embeddings
GDPR	Yes — fully local
Best for	Teams wanting a local OpenAI-compatible API for multiple model types
Website	localai.io

OpenAI API-compatible server that runs locally. Supports not just text generation but also image generation, speech-to-text, and embeddings. Useful as a local drop-in replacement for the OpenAI API in existing applications.

Desktop AI applications

No server required. These apps run LLMs directly on a laptop or workstation. Ideal for individual users or small teams.

LM Studio

Type	Desktop application
Hosting	Runs locally on your computer
Models	Thousands of models from Hugging Face
GDPR	Yes — fully offline
Best for	Non-technical users who want a polished local AI experience
Website	lmstudio.ai

The most user-friendly desktop LLM application. Download models with a click, chat through a clean interface, and optionally expose a local API. Runs on macOS, Windows, and Linux. No command line required.

GPT4All

Type	Desktop application
Hosting	Runs locally
Models	Curated library of optimised models
GDPR	Yes — fully offline
Best for	Users wanting the simplest possible setup for local AI
Website	gpt4all.io

By Nomic AI. One-click installer, runs on consumer hardware including machines without a GPU. Curated model library focused on models that run well on standard laptops. LocalDocs feature lets you chat with your files.

Jan

Type	Desktop application (open-source)
Hosting	Runs locally
Models	Hugging Face models, OpenAI API compatible
GDPR	Yes — fully offline
Best for	Privacy-conscious users wanting an open-source alternative to LM Studio
Website	jan.ai

Open-source desktop AI application. Clean interface, local model management, and the ability to connect to remote APIs when needed. Fully offline by default. Active open-source community.

Cloud AI with EU data residency

These services run proprietary models (GPT-4, Claude) through data centers physically located in the European Union. Data stays in Europe, but it runs on the provider’s shared infrastructure.

Azure OpenAI Service (EU regions)

Type	Cloud API
Hosting	Microsoft data centers in West Europe (Netherlands), France Central, Sweden Central
Models	GPT-4o, GPT-4, GPT-3.5, DALL-E, Whisper
GDPR	DPA available; data processed in EU; no training on customer data
Best for	Companies needing GPT-4 with EU data residency guarantees
Website	azure.microsoft.com/products/ai-services/openai-service

Run OpenAI models through Microsoft’s EU data centers. Data does not leave the EU, and Microsoft contractually commits to not training on your data. Enterprise-grade SLAs, integration with Azure ecosystem. However, data still resides on Microsoft’s infrastructure — not your own.

Amazon Bedrock (Frankfurt region)

Type	Cloud API
Hosting	AWS eu-central-1 (Frankfurt)
Models	Claude (Anthropic), Llama 3, Mistral, Titan, Cohere
GDPR	DPA available; EU data residency; no training on customer data
Best for	Companies already on AWS wanting multi-model access with EU hosting
Website	aws.amazon.com/bedrock

Amazon’s managed AI service. Access multiple models through a single API, with data processed in the Frankfurt region. Same caveat as Azure: EU data residency on shared infrastructure, not on-premise sovereignty.

OVHcloud AI Endpoints

Type	Cloud API
Hosting	OVHcloud data centers (France)
Models	Mistral, Llama, and other open-source models
GDPR	Compliant — French company, French infrastructure
Best for	Companies wanting a fully European cloud AI stack
Website	ovhcloud.com/en/public-cloud/ai-endpoints

French cloud provider offering AI inference on European infrastructure. Fully European supply chain — no dependency on American hyperscalers. Growing model catalogue, competitive pricing. A strong option for companies that want to avoid US cloud providers entirely.

RAG and document AI tools

These tools specialise in Retrieval-Augmented Generation — connecting an LLM to your company’s documents so it can answer questions grounded in your actual data.

PrivateGPT

Type	Open-source RAG platform
Hosting	Self-hosted
Models	Works with any local LLM (via llama.cpp, Ollama, etc.)
GDPR	Yes — fully local, no data leaves your machine
Best for	Teams needing document Q&A with complete privacy
Website	privategpt.dev

Ingest documents (PDF, DOCX, TXT, and more), build a local vector index, and ask questions answered by an LLM grounded in your data. Fully offline. API and UI included. One of the first tools built specifically for private document AI.

AnythingLLM

Type	Open-source document AI platform
Hosting	Self-hosted or desktop
Models	Works with local models (Ollama, LM Studio) or cloud APIs
GDPR	Yes, when used with local models
Best for	Teams wanting a full-featured document workspace with flexible model backends
Website	anythingllm.com

All-in-one workspace for document AI. Upload documents, create workspaces, chat with your data. Supports multiple model backends — local or cloud. Built-in user management and permissions. Desktop app available for individual use.

Danswer

Type	Open-source enterprise search + AI
Hosting	Self-hosted
Models	Works with local or cloud LLMs
GDPR	Yes, when self-hosted with local models
Best for	Companies wanting AI-powered search across internal tools (Slack, Confluence, Google Drive, etc.)
Website	danswer.ai

AI-powered enterprise search that connects to Slack, Confluence, Google Drive, Jira, Notion, and dozens of other data sources. Ask a question in natural language, get an answer with citations from your internal knowledge. Self-hosted for data sovereignty.

Quivr

Type	Open-source knowledge assistant
Hosting	Self-hosted or cloud
Models	Works with multiple LLM providers
GDPR	Yes, when self-hosted
Best for	Teams wanting a second brain for company knowledge
Website	quivr.com

Upload documents and URLs to build a private knowledge base, then chat with it. Supports multiple file formats and data sources. Self-hosted option for full privacy. Active development and growing community.

How to evaluate private AI tools

With 50+ options available, narrowing the field requires a structured approach. Here are the five criteria that matter most for European businesses:

1. Data sovereignty. Where does data go when you send a prompt? On-premise and self-hosted tools score highest — data never leaves your infrastructure. EU cloud services are a middle ground. Any tool that routes data outside the EU without explicit contractual safeguards should be disqualified for sensitive use cases.

2. Compliance readiness. GDPR compliance is table stakes. AI Act readiness is becoming equally important. Look for: audit trails, transparency documentation, the ability to explain model outputs, and support for human oversight. Managed platforms typically include these features; self-hosted tools require you to build them.

3. Technical requirements. Self-hosted tools need GPU hardware, DevOps expertise, and ongoing maintenance capacity. Desktop apps need modern hardware but no server infrastructure. Managed platforms and cloud services have the lowest technical barrier. Be honest about your team’s capabilities.

4. Model flexibility. Avoid single-model lock-in. The best tools support multiple models so you can switch as the landscape evolves. Today’s best model may not be tomorrow’s. Platforms like ORCA and toolkits like Ollama give you this flexibility. Cloud APIs may lock you into a single provider’s model family.

5. Total cost of ownership. Free software is not free to operate. Factor in hardware, electricity, engineering time, and opportunity cost. Per-seat SaaS is predictable but scales linearly. Fixed-cost on-premise solutions have higher upfront costs but better economics at scale. Model your specific scenario over 3 years, not just the first month.

The landscape is moving fast

This directory reflects the state of the market in early 2026. New tools appear monthly, existing ones add features, and some will not survive. We update this page regularly to keep it accurate.

If we have missed a tool that belongs here, or if information about a listed tool is outdated, let us know.

What will not change is the underlying need: European businesses require AI tools that respect their data, their regulations, and their sovereignty. The tools listed here make that possible.