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Veritas Health Innovation Ltd (Melbourne, Australia)Covidence
Widely used platform for managing systematic reviews: importing and deduplicating, dual screening, data extraction, risk of bias and export. Part of the Cochrane review toolset.
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
PriceSingle $339 per year (1 review); Package $907 per yearSingle $339 per year (1 review); Package $907 per year (3 reviews); organisation licence on request; free trial with up to 500 records
Free trialYes
BasedMelbourne, AustraliaOutside EU
ModelNot publicwhich LLM provider is used is not public; Covidence states that the LLMs used do not store, distribute or use uploaded full-text PDFs for training. The organisation calls itself the GDPR data controller, but data may be stored outside the EU.
Last checked: 15 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Import from EndNote, Zotero, RIS, PubMed
Automatic deduplication
Dual, blinded screeningResolve conflicts in a structured way
Data extraction with AI suggestionsRisk of bias in the extraction workflow
Export PRISMA flow diagram
Institution-wide reportingComparable in research & science
Cradleon request (licence, no royal…
ASReview LABfree (open source)
Scholarcyfree Article Summarizer (1 same…
SciSpacefree plan
Keeniousfree plan (3 conversations per day)
Castoron requestUnderlying model
GDPR check for research & science which LLM provider is used is not public; Covidence states that the LLMs used do not store, distribute or use uploaded full-text PDFs for training. The organisation calls itself a GDPR data controller, but data may be stored outside the EU. 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 Covidence
- Which AI model does Covidence use?
- The maker of Covidence does not publish which AI model is underneath. Which LLM provider is used is not public; Covidence states that the LLMs used do not store, distribute or use uploaded full-text PDFs for training. The organisation calls itself the GDPR data controller, but data may be stored outside the EU.
- How much does Covidence cost?
- Single $339 per year (1 review); Package $907 per year (3 reviews); organisation licence on request; free trial with up to 500 records. Check the current price on the provider's website; prices change often.
- Who is Covidence for?
- Covidence is aimed at research & science. It covers 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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