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Veeva Systems (Pleasanton, United States)Veeva Vault AI
AI agents within the Veeva Vault platform for clinical, regulatory, safety, quality and commercial, with access to documents and data within Vault.
Shared spot12of 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: Unknown
- Provider based outside the EU
Priceon request
Free trialNone foundNot found on the provider's site when checked on 3 November 2026
Based inPleasanton, United StatesOutside the EU
ModelClaude
Last checked: 3 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Standard agents per Vault application
Configure agents or build your own
Works within existing Vault workflowsCustom agents: Veeva or your own models
New agents with 3 releases per year
Quick Check and Content Agent (PromoMats)
Agentic Call Report in Vault CRM
Comparable in pharmaceutical industry
Cradleon request (licence, no royal…
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Causalyon request (enterprise, via demo)
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Questions about Veeva Vault AI
- Which AI model does Veeva Vault AI use?
- Veeva Vault AI runs (in part) on Claude. Vault AI Agents use models from Anthropic and Amazon via Amazon Bedrock; own agents can also use models hosted by Veeva or your own models on Bedrock or Azure AI Foundry. Whether customer data is used for training is not stated on the product page.
- How much does Veeva Vault AI cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Veeva Vault AI for?
- Veeva Vault AI is aimed at the pharmaceutical industry. It supports work such as finding and optimising targets, proteins and candidate molecules with AI models, 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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