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Perplexity AI

How safe is Perplexity for non-profit & fundraising?

GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hosting available. Caution means a model with a documented issue, such as an investigation by a regulator. How we measure for non-profit & fundraisingUnknown

The maker of Perplexity publishes little about data protection. Check this before you put confidential non-profit & fundraising data into it.

Where does Perplexity stand in non-profit & fundraising?

Shared spot 9 of 26 options for non-profit & fundraising (professional tools and general assistants) by GDPR profile. 11 options, like Perplexity, have an unknown profile. Each tile is an option we track for this field; click for the check.

Strong6
Good0
Limited2
Unknown11
Caution7

Stronger or equally strong in non-profit & fundraising

Questions

How safe is Perplexity for non-profit & fundraising?
The maker of Perplexity publishes little about data protection. Ask about this before you put confidential non-profit & fundraising 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 watch out for with AI in non-profit & fundraising?
Donor data is personal data under the GDPR; use only systems with a data processing agreement and preferably EU hosting. Automated donor profiling (wealth screening) can be sensitive: be transparent in your privacy policy. AI-written grant applications require human checking for accuracy and alignment with the organisation's identity.

Source documents

Everything about Perplexity Best AI for non-profit & fundraising

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

Last checked: 29 October 2026 · How we check

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