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GenHealth.ai raises $16.5M in Series A funding to enhance its AI agents for medical back-office automation, led by Flare Capital Partners.

PRIVATESep 09, 2026•about 2 hours ago

Amount Raised

$16.5 Million

Round Type

Series A

BostonInformation Technology

Investors

ArtisEpsilon Health InvestorsIn Health VenturesEniac VenturesObvious VenturesCraft VenturesFlare Capital Partners

Description

GenHealth.ai, a Boston-based healthcare AI startup, has secured $16.5 million in Series A funding. This latest round was led by Flare Capital Partners with participation from existing investors and new entrants. The funds will help scale their engineering and go-to-market teams and enhance their AI agents' functionalities. The total funding for the company now stands at $30 million.

Company Information

Company

GENHEALTH

Location

520 LEWIS ST NW

Boston, Massachusetts, United States

About

GenHealth AI is a startup building the next generation of AI-powered healthcare solutions using generative AI trained on encoded medical events. We are a team of entrepreneurs, engineers, security experts, and scientists who founded and built 1upHealth's infrastructure for health plans to manage Fast Healthcare Interoperability Resources (FHIR) data. We are taking lessons learned from managing over 50 million patients' data and are now developing novel generative AI algorithms utilizing that newly standardized data. In the near future, we believe most major health decisions will be supported by an AI; We want to be that AI.

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Funding Insights

Based on industry data
Typical timeline to Series B
Series A companies typically raise their next round in 10-18 months
Monthly burn rate benchmark
47% of Series A startups spend $400k or more per month on operations
VC-backed spending patterns
VC-backed companies spend 89% more on sales and 100% more on marketing than bootstrapped peers
Tech investment trends
83% of B2B companies plan digital investments, with 79% prioritizing customer experience tech

GENHEALTH raised. Fundz records a round at a median of 3.6 minutes from the SEC filing, with the decision-maker attached.

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