Michael Greenhalgh
Michael Greenhalgh is a computer scientist who has spent four decades at the intersection of technology and complex systems. He studied Natural Language Processing and Artificial Intelligence at Stanford University, then spent the next thirty years building and scaling technology companies across enterprise software, SaaS platforms, and data infrastructure.
In 2024, he acquired the domain health.ai — not to build another health app, but to establish the foundational layer for verified health information. The acquisition reflected a conviction that had been forming for years: that the most consequential application of AI would not be in autonomous vehicles or image generation, but in closing the gap between what medicine knows and what patients receive.
The question isn't whether AI can transform healthcare. The question is whether we build that transformation on a foundation of truth or on the same incentive structures that created the problem.
Before Health.AI, Greenhalgh built and exited multiple technology companies, led engineering teams of over a hundred people, and developed proprietary systems for natural language understanding that predated the current wave of large language models by more than a decade. He holds a degree in Computer Science from Sonoma State University and completed advanced study at Stanford's NLP program.
He is also a certified diver, a hyperbaric oxygen therapy researcher, and an advocate for evidence-based longevity science — interests that inform Health.AI's emphasis on the full spectrum of human health, from acute care to long-term optimization.