Most of the research tools in this category aim at academia in general. EvidenceHunt (evidencehunt.com) goes the other way — it is built specifically for medicine. It’s an AI-powered platform for finding, analysing and processing clinical and biomedical evidence, designed to let healthcare professionals reach relevant studies without manually trawling PubMed, guidelines, protocols and other documentation. Founded by a multidisciplinary team led by CEO Philippe Habets and backed by a $1.26M seed round in early 2025, it has positioned itself as the evidence-based-medicine specialist of the AI-search field.

That focus is the whole point. By narrowing its remit to clinical and biomedical literature, EvidenceHunt can be more rigorous and more useful to its audience than a generalist tool — and it adds features built around how clinicians and pharma teams actually work, not just how students write essays.

What EvidenceHunt does

Clinical evidence search, without the syntax

At its core, EvidenceHunt offers conversational evidence retrieval grounded in scientific literature — connecting global medical journals, publisher content, national guidelines and even internal protocols into a single searchable layer. Crucially, you don’t need to master PubMed’s notoriously fiddly query language: you can search with straightforward terms, choose from predefined medical specialties, or write custom PubMed queries if you want fine control. For a busy clinician, removing that syntax barrier alone saves real time.

Weekly e-alerts — the standout

EvidenceHunt’s signature feature is its customisable weekly e-alerts. Tell it the disease areas, drugs or trial types you care about, and it keeps you informed about the latest clinical trials, emerging evidence and new drug findings as they appear. It monitors in real time across more than 150,000 global medical journals and clinical registries. In a field where staying current is part of the job, automated monitoring tailored to your specialty is genuinely valuable — and it’s something the general academic tools don’t really offer.

Extraction and systematic review at scale

For researchers and pharmaceutical teams, EvidenceHunt goes deeper. It can extract tables, endpoints, outcomes, populations and study characteristics from publications at scale, and it offers automated screening that aims to turn months of systematic-review work into days. The company cites validation figures of 100% sensitivity in systematic-literature-review abstract and full-text screening, and up to 99% extraction accuracy across structured workflows. It handles multilingual papers, and enterprise customers can integrate its capabilities into their own evidence workflows and repositories via API.

Privacy built for healthcare

Given its clinical audience, EvidenceHunt leans hard into compliance: European-hosted infrastructure, GDPR-compliant data handling, EU data-residency options, secure enterprise data separation and zero-retention AI endpoints. For hospitals and pharma handling sensitive material, that posture matters as much as the features.

How EvidenceHunt scores

Overall score: 7.7 / 10, the average of the eight categories above.

EvidenceHunt pricing

This is the murkiest part of the picture. EvidenceHunt operates on a freemium model — there’s an accessible search tier you can try — but standard consumer pricing for its paid individual and enterprise tiers is not transparently published, so treat the figures below as a structure rather than a price list.

The lack of clear, public consumer pricing is a genuine mark against it — you can’t easily compare value before committing.

Where it falls short

The citation caveat

The most important caution: at least one earlier review reported that EvidenceHunt could generate citations to papers that don’t exist — the same fabrication problem that plagues many AI research tools. The platform has matured considerably since, and grounding answers in PubMed should reduce this, but in a clinical context the stakes are high. Always click through and verify that a cited study is real and says what the tool claims before it informs any decision. Treat EvidenceHunt as a powerful finding aid, not an oracle.

Narrow by design

EvidenceHunt is medical, full stop. That focus is its strength for clinicians and pharma, but it means the tool is of little use for any research outside health and life sciences. If your work spans disciplines, you’ll still need a generalist alongside it.

The heavy features need the heavy plans

The genuinely transformative capabilities — automated SLR screening, large-scale extraction, journal monitoring at volume, API access — sit behind paid and enterprise tiers. The free tier is a useful search experience, but the workflow-changing features come at a cost that isn’t openly stated, and EvidenceHunt remains a relatively small company building out its platform.

Pros and cons

Who should use EvidenceHunt?

EvidenceHunt is built for clinicians who want evidence-based answers and specialty alerts without wrestling PubMed, for medical researchers and academics running literature reviews, and especially for pharmaceutical teams who need extraction and systematic-review screening at scale with enterprise-grade privacy. For those audiences, it’s a focused, capable tool with a monitoring layer that generalist search engines lack.

If your needs are broader, pair or compare it with the generalists. Consensus and Elicit cover academic research across all fields, Scite adds citation-context checking, and Iris.ai targets enterprise R&D more widely. EvidenceHunt’s edge is clinical depth and live monitoring — but its caveats mean it complements, rather than replaces, careful verification.

Verdict

EvidenceHunt is a sharp, well-built specialist. By committing to medicine it delivers things the all-rounders can’t — guideline and protocol coverage, syntax-free PubMed search, and genuinely useful weekly alerts on new trials and drug evidence — wrapped in the kind of EU-hosted, zero-retention privacy that healthcare demands. For pharma, the extraction and SLR-screening features promise serious time savings.

Two things hold it just below the strongest tools in the category: the reported history of fabricated citations, which in a clinical setting makes source verification essential, and pricing that isn’t openly published. Used carefully, by the right professionals, it’s a valuable addition to the evidence workflow. Just never let it be the final word. Score: 7.7/10.

Frequently asked questions