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Owkin (Paris, France)Owkin K Pro
AI scientist for drug development: agents search for targets, predict which patients will respond and help take candidates into clinical trials, with validation in an in-house lab.

- Provider based in the EU
Last checked: 3 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Patient subgroups from multi-omics
Reports for target and patent analysis
Your own data, agents and tools via MCPComparable in pharmaceutical industry
Cradleon request (licence, no royal…
Biolevateon request
Castoron request
Aily Labson request
Causalyon request (enterprise, via demo)
Ardigenon requestOwkin K Pro compared
does not publish 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. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Owkin K Pro
- Which AI model does Owkin K Pro use?
- The maker of Owkin K Pro does not publish which AI model sits underneath. 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 much does Owkin K Pro cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Owkin K Pro for?
- Owkin K Pro targets the pharmaceutical industry, research & science. It fits work such as finding and optimising targets, proteins and candidate molecules with AI models, and setting up clinical studies: recruiting patients, capturing source data and monitoring data quality, and drafting regulatory documents (protocols, CSRs, dossiers) with traceable sources.
- 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.
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