In this interview from theCUBE + NYSE Wired: MedTech Unplugged, Omri Yoffe, chief executive officer of Vi, joins theCUBE's John Furrier to discuss how enterprise AI is converting massive patient datasets into real-time clinical intelligence. Yoffe details Vi's three-layer approach — a privacy-safe data platform spanning 190 million de-identified patients, purpose-built private models and an edge orchestration layer — that delivers "next best actions" across oncology, clinical trials and supply chain. Processing 1.2 petabytes daily, the system tokenizes patient identities at ingestion, ensuring compliance before any AI-driven action is triggered. Rather than a traditional SaaS model, Vi underwrites outcomes against a control group, meaning the company wins only when patients and enterprises see measurable results. The conversation also explores the critical role of human judgment in healthcare AI, with Yoffe arguing that autonomous "fire and forget" systems are unsuitable for life-or-death decisions. He emphasizes that high-impact use cases demand guardrails where humans — or well-governed agentic systems connected through APIs — remain in the loop. On the business side, Vi operates at nine-figure annual recurring revenue in a breakeven-to-profitable state, backed by General Atlantic, with a target of $1 billion in total contracted value by end of next year. Yoffe highlights that Vi has helped accelerate more than 50 critical drugs and generated north of $2 billion in savings for enterprise partners through reduced cost of care. The discussion also touches on an emerging wave of AI-native service providers in clinical trials, where domain experts armed with agentic workflows can replace thousand-person operations with lean, high-margin teams. From building privacy-first data foundations to enabling predictive patient journeys at scale, Yoffe provides a roadmap for how healthcare organizations can harness AI responsibly while delivering measurable impact.