H1, an NYC-based healthcare AI startup arming healthcare organizations with live data insights to help fight diseases, announced today that Shore Group has invested $6M to accelerate H1’s growth. H1 empowers stakeholders at healthcare and life science companies to make smarter scientific decisions by providing access to critical data through an intuitive interface.
Healthcare Data Analysis
H1 has built a technology infrastructure grounded in machine intelligence that enables it to quickly find and surface relevant data from any public clinical and scholarly database anywhere in the world. The company layers in curated data harvested from hundreds of thousands of website profiles and conference presentations.
The result: what used to take a healthcare organization a month to find and analyze (if they could find it at all), now takes H1 just hours.
H1 Service Offerings
H1 offers several different solutions for healthcare companies:
– H1 Ada: Comprehensive and up-to-date records of the people and organizations driving medicine.
– H1 Curie: Information and analytics around thought leaders and their accomplishments – all in one place.
– H1 DaVinci (launched Sept 2018): Strategy-as-a-service offering that helps strategic planning team unlock more valuable opportunities, faster.
Ariel Katz, the co-founder of H1, came to Shore Group when the company acquired his startup Labspot in 2016. He had a vision for a data company focused solely on healthcare, and Shore Group encouraged him to start H1 in late 2017. Incubated at Shore Group, over the past year, H1 grew swiftly, signing well over seven figures in revenue across some of the largest biopharma companies.
Katz said, “With expertise in data collection for some of the largest global financial institutions, Shore Group was the ideal incubation spot for H1, as we established ourselves in the healthcare data space. Now that we are on solid footing, with a clear path to growth, we’re excited to operate independently, with Shore Group’s backing as an investor.”
H1 is hiring aggressively – primarily data scientists and data engineers – to keep ahead of the fast-growing demand for its services.
