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Perplexity AIHow safe is Perplexity for the pharmaceutical industry?
The maker of Perplexity publishes little about data protection. Ask about this before you put confidential pharmaceutical industry data into it.
Where does Perplexity stand in the pharmaceutical industry?
Shared spot 16 of 25 options for the pharmaceutical industry (professional tools and general assistants) on the GDPR profile. 3 options, like Perplexity, have an unknown profile. Each tile is an option we track for this field; click to check.
Published safeguards
None of these three found in what the provider publishes; what is there, you can read below. Know more? Report it
Enterprise plans and the Sonar API are not trained on customer data (SOC 2 Type II; API with zero data retention). For consumer accounts, data use for model improvement can be switched off in the settings.
How to use Perplexity 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: in this sector it concerns health data of trial participants and patients (special category personal data under art.
Stronger or equally strong in the pharmaceutical industry
Questions
- How safe is Perplexity for the pharmaceutical industry?
- The maker of Perplexity publishes little about data protection. Ask about this before you put confidential pharmaceutical industry data into it. The provider publishes little on this, ask about it before business use.
- Does Perplexity train on my data?
- Enterprise plans and the Sonar API are not trained on customer data (SOC 2 Type II; API with zero data retention). For consumer accounts, data use for model improvement can be switched off in the settings.
- 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.
Source documents
Everything about Perplexity Best AI for the pharmaceutical industry
Summarised by the editorial team from provider documentation · not legal advice
Last checked: 29 October 2026 · How we check
Source: , checked on 29 October 2026
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