Amsterdam's EvidenceHunt, an AI-driven medical research platform, raised €1.2M in funding led by Keen Venture Partners and others to streamline evidence search. The platform addresses the inefficiencies in the lengthy process professionals face when searching for medical information on PubMed and related sources. CEO Philippe Habets emphasizes that EvidenceHunt not only saves time but also provides traceable answers from credible sources, enhancing decision-making in the medical community. The platform's design prioritizes transparency over operating as a 'black box', aiming to build trust among users.
"As a medical doctor and PhD, I know firsthand how frustrating it can be to spend countless hours navigating PubMed, guidelines, and protocols. From day one, we built EvidenceHunt to mimic domain-specific logic and processes for evaluating and interpreting literature. But we aim to do more than just save time - we provide clear answers that users can trace back to credible sources," says Philippe Habets, CEO of EvidenceHunt.
"Unlike generic AI platforms, our goal with EvidenceHunt is not to be a black box; it's designed to empower users with transparency and reliability, which are essential for adoption and for earning the trust of the medical community," adds Habets.
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