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Causaly Ltd (London, United Kingdom)

How safe is Causaly for research & science?

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 safeguard (1) and whether the provider is based in the NL or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure for research & scienceLimited

Causaly publishes limited privacy safeguards. Ask the provider for clarification before you put confidential research & science data into it.

Where does Causaly stand in research & science?

Shared place 12 of 30 options for research & science (professional tools and general assistants) on GDPR profile. 8 options, like Causaly profile, are limited. Each tile is an option we track for this field; click for the check.

Strong5
Good6
Limited8
Unknown4
Caution7

Published safeguards

–Provider based in NL/EUNot known
–Data in the EU (according to provider)Not known
✓Publishes certification (ISO/NEN/GDPR)Yes

not publicly disclosed which language model is used; own retrieval system (SIRS) on top of a biomedical knowledge graph. Customer data is not used to train AI models (according to the provider); ISO 27001-certified (2022) (according to the provider); data may be stored in the UK, Greece or the US, transfers under standard contractual clauses (according to the provider)

How to use Causaly safely

  • Use the business variant and sign a data processing agreement (DPA).
  • Do not enter unnecessary personal data into prompts; anonymise where possible.
  • Ask the provider explicitly where data is stored and processed.
  • Keep a professional in the loop: never use AI as a source: every reference must be traceable to the original article, as invented or misattributed citations are the most common error.

Stronger or equally strong in research & science

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Questions

How safe is Causaly for research & science?
Causaly publishes limited privacy safeguards. Ask the provider for clarification before you put confidential research & science data into it. Limited or partly unknown safeguards, ask the provider.
Does Causaly train on my data?
not publicly disclosed which language model is used; own retrieval system (SIRS) on top of a biomedical knowledge graph. Customer data is not used to train AI models (according to the provider); ISO 27001-certified (2022) (according to the provider); data may be stored in the UK, Greece or the US, transfers under standard contractual clauses (according to the provider)
What should I look out for with AI in research & science?
Never use AI as a source: every reference must be traceable to the original article, as fabricated or wrongly attributed citations are the most common error. Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data processing agreement, and check whether the provider stores your input or uses it for training (publishers usually prohibit this explicitly for peer review). If you work with personal data from research participants, the GDPR and your own ethics review apply: running models locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, document your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible.

Source documents

www.causaly.comwww.causaly.comwww.causaly.comwww.causaly.com

Everything about Causaly Best AI for research & science

Summarised by the editorial team from provider documentation · not legal advice

Last checked: 9 November 2026 · How we check

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