Board Partner at First Round Capital
Check size: Firm-level: First Round says initial investments typically range from $1M-$7M, average about $3.5M, and have ranged below and above that; participating rounds have ranged from $100K-$20M.
Roy spends most of his First Round time in healthcare, applying three decades of product, innovation, and care-delivery experience to companies that can materially improve lives. He favors practical experimentation and measurable implementation over technology theater: identify a consequential workflow, build with the private context and orchestration required for accuracy, rigorously test real outcomes, and help founders win early customers, prioritize development, refine sales, hire, and learn faster.
For healthcare, start with the exact workflow and stakeholder pain, then show required private context and integrations, task decomposition, human and automated handoffs, test coverage, edge cases, accuracy, trust, and measured clinical or operating impact. Explain the first customer path and implementation burden. More broadly, demonstrate how fast experiments turn a bold idea into material change.
Early products and services capable of making a material difference in people's lives, especially healthcare solutions that reduce burden, cost, morbidity, utilization, or delays while improving engagement and care quality. He values founders who combine bold industry change with fast experiments and measurable real-world outcomes.
No personal pass list is public. His healthcare writing is skeptical of off-the-shelf AI claims without the proprietary context, workflow decomposition, orchestration, testing, refinement, accuracy, trust, and measured outcomes required for safe and effective implementation.
Evaluate whether an application brings in non-public workflow context, decomposes complex work into verifiable steps, combines the right automation modalities, and continuously tests edge cases and measurable outcomes.
Define a care-delivery problem, test a technology-enabled intervention quickly, measure clinical and operational results, refine it with users, and scale only when it creates material real-world improvement.
“I've always loved the earliest days of building products and services that can meaningfully change lives.”
— https://www.firstround.com/team/board-partners/roy-rosin
“Without accuracy and trust, sustainable measurable impact is impossible.”
— https://www.linkedin.com/pulse/ai-accurate-enough-healthcare-roy-rosin-uhgve
High-accuracy healthcare automation requires private workflow context, deliberate task decomposition and orchestration, and rigorous testing and refinement rather than raw off-the-shelf model output.
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