claims-automation
(4)
Mike Greene
Mike Greene is the CEO and co-founder of Hi Marley, a Boston-based insurtech company building an intelligent SMS communication platform for property and casualty insurance carriers. A repeat founder who previously built and sold Futurity Group to Aon, Greene has spent his career trying to make insurance communication less frustrating and more human, working with 13 of the top 30 P&C carriers.
Steven Greene
Steven Greene is the co-founder and CEO of Standard Practice, a New York voice-AI startup that automates the endless phone calls medical billing teams make to insurance companies. A reformed Goldman Sachs healthcare M&A banker turned operator, he built and rebranded the company from its original incarnation, Nibble Health, after watching healthcare workers burn roughly 4.5 hours a day on hold. Backed by $8.5M from Wing, Tiger Global, A* Capital and Expa, Greene is trying to give revenue cycle teams their time, and their money, back.
Bill Henderson
Bill Henderson is a healthcare growth executive with 35+ years across dental, vision, Medicaid, Medicare, and chronic care management. He spent 15 years at LIBERTY Dental Plan, where he grew the business to more than $900 million in sales and over 6 million covered lives across all 50 states. After serving as Chief Growth Officer at Vheda Health, he was named Strategic Advisor to the CEO of LightSpun, the AI-powered dental insurance administration platform formerly known as 32Health, in April 2026, where he leads national growth strategy and payer partnerships.
Natasha Alexeeva
Natasha Alexeeva is the Founder and CEO of Friendly, a San Francisco-based enterprise AI company that automates insurance underwriting, claims processing, and reinsurance treaty analysis using deep learning. Originally from Moscow, she holds a CS degree from Lomonosov Moscow State University and an MBA from Stanford. Before Friendly, she pioneered EMR-integrated asynchronous telemedicine as founder of GoGoHealth and led new service incubation at Amazon Web Services. Her platform processes 7,000 pages per hour at 95% accuracy, delivering the 85% efficiency gains she's made her personal mission.