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Consensus NLP, Inc. (San Francisco, United States)Consensus
Search engine that first retrieves peer-reviewed articles and then uses AI for a synthesised answer with citations. The Consensus Meter shows how the evidence stacks up for a yes/no research question.
Shared spot8of 18 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is a certification or GDPR guarantee (1), and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in research & science
GDPR: Limited
- Provider based outside the EU
- Publishes certification/GDPR safeguards
Pricefree plan; Pro $12 per month; Deep $45 per monthfree plan (10 Pro messages per month); Pro $12 per month ($144 per year); Deep $45 per month ($540 per year); Team and Enterprise on request
Free trialYes
Based inSan Francisco, United StatesOutside the EU
Last checked: 27 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Pro Search and Deep Search
Consensus Meter: leans towards a yes or no findingMedical Mode: medical journals and guidelines
Ask Paper: chat with an articleStudy Snapshots with key details per study
Filters by study type, open access, sample size
Citation Graph and Research Gaps Matrix
API and MCP integration
Questions about Consensus
- Which AI model does Consensus use?
- Consensus runs (in part) on ChatGPT, Claude, Gemini. Processing goes via OpenAI, Anthropic, Google and Baseten (named by Consensus itself in its privacy policy); Consensus states that user data is not used for training and that content is passed on pseudonymised. Caution: all servers are in the US and the privacy policy does not mention the GDPR.
- How much does Consensus cost?
- free plan (10 Pro messages per month); Pro $12 per month ($144 per year); Deep $45 per month ($540 per year); Team and Enterprise on request. Check the current price on the provider's website; pricing changes often.
- Who is Consensus for?
- Consensus is aimed at research & science. It fits work such as literature searching and exploration with semantic search and citation networks, screening titles, abstracts and full texts for systematic reviews, and extracting and summarising data and study characteristics from papers.
- 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.
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