Home / Pharmaceutical industry / Castor
Castor (Amsterdam, Netherlands)Castor
Dutch eClinical platform for clinical trials (EDC, eCOA, eConsent) with Catalyst, an AI module that extracts source data from records and enters it into the study after human review.
Shared spot2of 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: Good
- Provider based in the Netherlands
- Publishes certification/GDPR safeguards
Priceon request
Free trialNone foundNot found on the provider's site when checked on 2 November 2026
Based inAmsterdam, NetherlandsNetherlands
ModelNot publicwhich model Catalyst uses is not public. Castor: source data and anonymised derivatives never go to third-party AI models; source documents in a separate encrypted Source Vault (AES-256), destroyed 30 days after the study. ISO-certified, GCP and GDPR/HIPAA supported.
Last checked: 2 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
EDC for clinical trials
eCOA and ePRO on any device
eConsent: remote or on site
Data management: cleaning and lockingCatalyst: AI extraction of source dataSources: pdf, scans, EHR export, FHIR
Confidence score and edit checks
A human approves every value
Comparable in pharmaceutical industry
Cradleon request (licence, no royal…
Biolevateon request
Aily Labson request
Causalyon request (enterprise, via demo)
Owkin K Proon request
Ardigenon requestCastor compared
Underlying model
GDPR check for pharmaceutical industry It is not publicly known which AI model Catalyst uses. Castor: source data and anonymised derivatives never reach third-party AI models; source documents sit in a separate encrypted Source Vault (AES-256), destroyed 30 days after the study. ISO-certified, with GCP and GDPR/HIPAA support. 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 Castor
- Which AI model does Castor use?
- The maker of Castor does not disclose which AI model sits underneath. It is not publicly known which model Catalyst uses. Castor: source data and anonymised derivatives never reach third-party AI models; source documents sit in a separate encrypted Source Vault (AES-256), destroyed 30 days after the study. ISO-certified, with GCP and GDPR/HIPAA support.
- How much does Castor cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Castor for?
- Castor is aimed at the pharmaceutical industry and 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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