llmradar/eu-llm-providers

EU-readiness of LLM API providers

Curated by LLM Radar — updated 2026-05-03 — 22 providers.

A manually-reviewed dataset assessing hosted Large Language Model (LLM) API providers on their readiness for use under EU regulation (GDPR, Data Protection, AI Act, Digital Services Act). Each provider is graded on four axes — hosting, GDPR, jurisdiction, AI Act — with a plain-text editorial verdict and a canonical link back to the full write-up at https://llmradar.eu.

Primary use cases:

• Procurement and vendor-risk due diligence for EU-based organisations
• Sovereign-AI and data-residency research
• Training classifiers / evaluation sets about LLM compliance posture
• Benchmarking the state of the EU LLM market over time

Fields

column	description
name	Human-readable provider name
vendor_name	Parent vendor / company
vendor_country	HQ country of the vendor
verdict	Overall verdict: ok, warn, or ko
verdict_text	One-line editorial verdict
hosting	Where inference runs (e.g. "EU-only", "US + EU")
gdpr	GDPR / DPA posture
jurisdiction	Governing law / data-access regime
ai_act	EU AI Act readiness
tags	Comma-separated topic tags (eu, banking, health, defense, public)
last_reviewed_at	ISO date of last manual review
llmradar_url	Canonical URL of the full provider page
slug	Stable identifier on LLM Radar

Methodology

Each entry is reviewed manually against public sources (provider docs, terms of service, data-protection agreements, sub-processor lists, regulator guidance, model cards, and vendor statements). Badges use a three-tier traffic-light scheme:

• green — meets the EU/GDPR/AI-Act criterion without material caveats
• amber — partial fit, conditional, or requires customer action to qualify
• red — does not meet the criterion, or requires data transfer outside the EEA

See the full methodology at https://llmradar.eu/methodology.

License & attribution

Released under CC BY 4.0. You may share and adapt the dataset for any purpose, including commercial use, provided you give appropriate credit and link back to the source:

Data from LLM Radar — https://llmradar.eu — licensed under CC BY 4.0.

Updates

This dataset is regenerated on a weekly cadence from the LLM Radar editorial database. Each row carries a last_reviewed_at date so you can filter for recency.

Citation

@misc{llmradar_eu-llm-providers,
  title        = { EU-readiness of LLM API providers },
  author       = { {LLM Radar} },
  year         = { 2026 },
  howpublished = { \url{https://huggingface.co/datasets/llmradar/eu-llm-providers} },
  note         = { CC BY 4.0 }
}

Report corrections

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