---
license: cc-by-4.0
language: [en]
size_categories: [n<1K]
source_datasets: [original]
pretty_name: EU-readiness of LLM API providers
task_categories:
  - tabular-classification
  - text-classification
tags:
  - eu-ai-act
  - gdpr
  - sovereign-ai
  - llm-compliance
  - europe
  - enterprise-ai
  - data-residency
  - hosted-llm
  - llm-api
  - data-protection
configs:
  - config_name: default
    data_files: providers.csv
---

# EU-readiness of LLM API providers

**Curated by [LLM Radar](https://llmradar.eu) — 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](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](https://llmradar.eu)
editorial database. Each row carries a `last_reviewed_at` date so you can
filter for recency.

## Citation

```bibtex
@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

Found an inaccuracy? Submit a correction or exercise your right of reply at
[https://llmradar.eu/corrections](https://llmradar.eu/corrections) or
[https://llmradar.eu/right-of-reply](https://llmradar.eu/right-of-reply).