Home / Pharmaceutical industry / Yseop Copilot
Yseop (Paris, France)Yseop Copilot
Generative AI platform for regulatory and medical writing in biopharma: drafts clinical study reports, patient narratives and CMC documents, traceable to the source data.
Shared spot5of 13 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is held in the EU (2 points), whether there is a certification or 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 in pharmaceutical industry
GDPR: Limited
- Provider based in the EU
Priceon request
Free trialNone foundNot found on the provider's site when checked on 2 November 2026
Based inParis, FranceEU
ModelClaude
Last checked: 2 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Creates regulatory documents automatically
Every sentence linked to source dataAudit trail for inspection
Works in Microsoft Word
Connects with Veeva VaultReuse approved content
One update across all documentsA human approves every output
Comparable in pharmaceutical industry
Cradleon request (licence, no royal…
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Questions about Yseop Copilot
- Which AI model does Yseop Copilot use?
- Yseop Copilot runs (in part) on Claude. Claude (Anthropic) via Amazon Bedrock, according to Yseop's blog on moving from SageMaker to Bedrock, combined with symbolic AI; private hosting environment on AWS. Whether customer data is used for training is not stated on the site.
- What does Yseop Copilot cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Yseop Copilot for?
- Yseop Copilot is aimed at the pharmaceutical industry. It fits work such as finding and optimising targets, proteins and candidate molecules with AI models, and setting up clinical trials: recruiting patients, recording 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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