Home / Safety / Owkin K Pro for the pharmaceutical industry
Owkin (Paris, France)How safe is Owkin K Pro for the pharmaceutical industry?
Owkin K Pro publishes limited privacy safeguards. Ask the provider for clarification before you put confidential pharmaceutical industry data into it.
Where does Owkin K Pro stand in the pharmaceutical industry?
Shared spot 9 of 25 options for the pharmaceutical industry (professional tools and general assistants) on the GDPR profile. 7 options, like Owkin K Pro, have a limited profile. Each tile is an option we track for this field; click to check.
Published safeguards
not publicly disclosed which language models K Pro uses (multi-agent architecture). Works with multimodal patient data from a network of 840 hospitals; hosting and training on customer data not stated on the homepage.
How to use Owkin K Pro 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
Questions
- How safe is Owkin K Pro for the pharmaceutical industry?
- Owkin K Pro publishes limited privacy safeguards. Ask the provider for clarification before you put confidential pharmaceutical industry data into it. For limited or partly unknown safeguards, check with the provider.
- Does Owkin K Pro train on my data?
- not publicly disclosed which language models K Pro uses (multi-agent architecture). Works with multimodal patient data from a network of 840 hospitals; hosting and training on customer data not stated on the homepage.
- 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
Everything about Owkin K Pro 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
Source: , checked on 3 November 2026
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