IDOVEN
Madrid
About IDOVEN
Idoven has developed the world’s first AI cardiologist -Willem- that augments both a cardiologist’s and non-cardiology expert clinician’s ability to identify, triage and diagnose patients at scale through APIs. The company counts clients such as AstraZeneca, Abbott, Novartis, GE Healthcare, FIFPRO, Google, Santander and Real Madrid Foundation. Idoven is backed by top-tier investors and business angels including Insight Partners, Northzone and Wayra (Telefónica), Iker Casillas, Pau Gasol, the Accel Starters program, EIC Accelerator, Horizon 2020, ERC and EIT Health. The company has been awarded with numerous distinctions for its AI technology in Europe and the US, including the the European Seal of Excellence 3x from the European Commission, granted by Horizon 2020, European Research Council ERC 2x (RIA) Europe’s most prestigious research grant, supporting excellent researchers in carrying out ground-breaking, high-risk, high-gain, frontier research projects, EIC Accelerator, and EIT Health. Idoven was ranked #1 Spanish HealthTech company in 2020 by NEOTEC. Idoven has been Google for Startups Resident at Google Campus Madrid and part of the Google for Startups Global Alumni Program. The company has won the prize Emprendedor XXI from CaixaBank, the Healthy Longevity Catalyst Award from the U.S. National Academy of Medicine, and has been awarded at South Summit 2021 as the Most Disruptive Startup, and Best Health and Wellbeing Startup. Selected by CB Insights as one of the top 150 global companies in Digital Health for 2022, and top 50 global companies in Digital Health for 2023. Idoven was recognized by TIME Magazine as one of the World's Top HealthTech Companies of 2025.
Company Facts
- Operating status: Active
- Company type: For Profit
- IPO status: Private
- Employees: 51 – 100
- Estimated revenue: $1K – $10K
- Total funding: $31.0M
- Last round: Series Unknown (Sep 2023)
- Website: idoven.ai
- Phone: [email protected]
Industries & Categories
Artificial Intelligence (AI), Health Care, Machine Learning, PaaS, Personal Health
Social Profiles
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