Synapse Medicine has built a SaaS medication intelligence platform that aggregates and classifies medication information from manufacturers, health authorities and research papers using natural language processing. The product surfaces sources for each recommendation and is designed to augment clinicians’ prescribing decisions and reduce errors such as interactions, wrong dosages and contraindications. It can be used standalone or integrated as a prescription-assistance brick within existing EHR systems and also integrates with telemedicine providers. The company counts dozens of telemedicine companies as clients and more than a hundred hospitals. With new funding, Synapse Medicine plans rapid global expansion and intends to grow to 150 employees by the end of the year, establishing offices in Paris, Bordeaux, Berlin, London, New York and Tokyo. The platform is continually updated with new recommendations added weekly to evolve alongside clinical practice. Synapse Medicine builds a medication intelligence SaaS platform that applies AI to pharmacology to ensure correct and safe drug use for healthcare institutions, professionals and the public. Its platform is used by telemedicine companies and can be integrated as a turnkey prescription solution. The team says the product aims to make reliable, up-to-date medical information widely accessible, supporting safety in the growing telemedicine market. The company reported it has tripled the size of its staff following recent growth. Synapse highlights the public-health scale of medication harms in France to motivate its mission. Founded in 2017 and based in Bordeaux, the startup has raised capital to accelerate international reach and product deployment. Synapse Medicine is a Bordeaux-based startup founded in 2017 by doctors Clément Goehrs and Louis Letinier and engineer Bruno Thiao-Layel. Its online platform provides an intelligent virtual medical assistant that doctors can query about drugs, including recommended doses, contraindications, and suitability for specific situations. The platform can also analyse a photographed prescription to flag inappropriate drugs, dosing issues, or interactions so doctors can adjust prescriptions quickly. Its algorithms use natural language processing to scan and structure information from more than 30,000 referenced medical documents into a searchable database. During a six-month test phase the service was used by 350 doctors who provided positive feedback. The company has raised a first round of €2.5 million led by XAnge; the funding will be used to recruit talent, accelerate the commercial launch, and develop new features.

Total raised

$39M

Funding rounds

3

Latest round

Series B

Latest activity

Mar 2022