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Aily Labs GmbH (Munich, Germany)

How safe is Aily Labs for pharmaceuticals?

GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is certification or a GDPR guarantee (1) and whether the provider is established in the NL or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure for pharmaceutical industryGood

Aily Labs has a good GDPR profile. Usable in the pharmaceutical industry, provided you use the business version and follow the points of caution below.

Where does Aily Labs stand in the pharmaceutical industry?

Shared place 6 of 25 options for the pharmaceutical industry (professional tools and general assistants) on GDPR profile. 3 options, like Aily Labs, have a good profile. Each tile is an option we track for this field; click for the check.

Strong5
Good3
Limited7
Unknown3
Caution7

Published safeguards

✓Provider based in NL/EUYes
–Data in the EU (according to provider)Not known
✓Publishes certification (ISO/NEN/GDPR)Yes

not public which language models; own predictive models. GDPR, SOC 2 Type 2 and ISO-certified according to the site; infrastructure via AWS and Google Cloud.

How to use Aily Labs safely

  • Use the business variant and sign a data processing agreement (DPA).
  • Do not enter unnecessary personal data into prompts; anonymise where possible.
  • Enable EU data residency where the provider offers it.
  • Keep a professional in the loop: in this sector it concerns health data of trial participants and patients (special category personal data under art.

Stronger or equally strong in the pharmaceutical industry

CradleCradle (Amsterdam, the Netherlands and Zürich, Switzerland)CastorCastor (Amsterdam, Netherlands)BiolevateBiolevate (Paris, France)ClaudeAnthropicGeminiGoogle

Questions

How safe is Aily Labs for the pharmaceutical industry?
Aily Labs has a good GDPR profile. Usable in the pharmaceutical industry, provided you use the business version and follow the points of caution below. Good safeguards, but not on every point.
Does Aily Labs train on my data?
not public which language models; own predictive models. GDPR, SOC 2 Type 2 and ISO-certified according to the site; infrastructure via AWS and Google Cloud.
What should I look out for with AI in the pharmaceutical industry?
This sector involves health data of trial participants and patients (special category personal data under Article 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never goes to third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles.

Source documents

www.ailylabs.com

Everything about Aily Labs Best AI for the pharmaceutical industry

Summarised by the editorial team from provider documentation · not legal advice

Last checked: 3 November 2026 · How we check

Next stepAll 25 options for pharmaceutical industryProfessional tools and general assistants side by side, on GDPR profile, price and quality.

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