Problem

Medical information is high-stakes but difficult to reconcile: patients and professionals may encounter conflicting opinions, opaque research, and endless online searches. MediSearch’s defining use case is a patient preparing for a consequential decision, such as surgery: its founders describe consulting eight surgeons in four countries and receiving six different knee-surgery options, leaving them unsure which opinion to trust. The pain is therefore both practical and economic—substantial time spent searching and interpreting evidence, combined with the potentially high cost of making an poorly informed health decision.

MediSearch focuses on reducing that uncertainty by making medical research easier to understand and compare. Rather than replacing a clinician, it is positioned as a faster way to investigate questions, prepare for conversations with healthcare professionals, and evaluate evidence behind possible treatments or health choices.

Product / Service

MediSearch is a medical-specialized AI search and question-answering service. It uses large language models to provide direct answers grounded in scientific papers and medical publications, while explaining complex medical terminology in simpler language. Its Pro product adds structured extraction from medical papers, including summaries and critical statistics, plus follow-ups to related papers, contradictory evidence, and real-world discussions; users can also filter by publication date and content type.

The service is delivered through the web, iOS, and Android, with a paid MediSearch Pro subscription, and it is also offered as an API for integration into other applications. The API streams responses in real time and supports configurable language, model, search-filter, and follow-up settings. The benefit is a more convenient and evidence-oriented research workflow, with citations and source context, although MediSearch explicitly states that it is not a substitute for a medical professional.

Market

MediSearch competes in AI-powered medical search and question answering, spanning generative AI, consumer health, digital health, healthcare technology, and mobile software. Its closest named comparator in the available evidence is OpenEvidence, which positions itself as a medical platform for healthcare professionals. MediSearch’s broader substitutes include conventional online medical research and general-purpose AI answers; its differentiation is medical specialization, scientific sourcing, citations, and tools for exploring conflicting evidence.

The company was founded in 2023 and is an active Y Combinator company. Traction is meaningful for an early-stage product: Google Play shows more than 500,000 downloads and about 1,080 reviews with a 4.7 rating, while the iOS listing shows a 4.6 rating from 151 ratings. An earlier YC launch reported 30x usage growth after joining YC, and the company reported a 94.2% score on the USMLE sample exam. PitchBook reports $500,000 raised from investors including Y Combinator, Amino Capital, Kaya VC, Pioneer Fund, and ZAKA VC; paid subscriptions are available, and PitchBook labels its recorded financing stages as generating revenue, although it does not disclose a current revenue figure.