Vi

❤️ Excited to share, Vi Launches Suite of AI Agents for Healthcare, Life Sciences, and Wellness Enterprises; Completes $145M Transaction at $1.64B Valuation Read More: https://lnkd.in/gxU_4Xng

Our CEO Omri Yoffe joined John Furrier at NYSE to discuss how AI and agentic applications are transforming healthcare. At Vi, we help healthcare and life sciences organizations turn their data into the next best actions for patients and care teams. Thanks to John Furrier, Gemma Allen, Brian J. Baumann, and the SiliconANGLE & theCUBE team at NYSE for hosting. Watch the full conversation here: https://lnkd.in/gjXNPaQu #AI #HealthcareAI #HealthTech #EnterpriseAI #NYSEWired

With AI now central to wellness platforms, they are no longer built around motivation. They are built as systems that adapt. In 2026, the platforms pulling ahead are not the ones with the most content or the most charismatic coaches. They are the ones that treat wellness as a continuously learning system that responds to behavior, biology, and context in real time. What we are seeing across the market: → AI is running the majority of day-to-day member interactions, from onboarding to reactivation → Static programs are giving way to self-tuning journeys that adjust to sleep, stress, adherence, and recovery → Outcomes and ROI are replacing engagement as the benchmark that matters This shift is redefining what good looks like in wellness. Less inspiration. More execution. Measurable impact over time. We explored what is actually working today, and what the next operating standard looks like, in the State of AI in Wellness 2026 report, grounded in real deployments and performance data rather than trend narratives. See the full report: https://lnkd.in/erdZ-btC

Enterprise AI only delivers value when teams can see, measure, and act on what is actually happening. Vi Pulse is built to make that possible. It is the command center for health enterprises, giving healthcare, biopharma, and wellness teams a single place to query the Vi Data Web, access actionable insights, and track ROI performance in real time. With LLM-powered search and real-time analytics, leaders can explore patient, provider, and operational intelligence intuitively, monitor how AI-driven actions are performing, and understand what is working and where to invest next. This is what it looks like when AI becomes an operating system for the enterprise, turning data into sustained, measurable impact.

Biopharma is past the point where AI is optional. By 2026, the pressure is structural. Scientific complexity is outpacing team capacity. Development costs are rising. Commercial models are fragmenting. And AI is moving out of pilots and into the workflows that actually run the lifecycle. A few patterns stand out: → Agentic AI is executing regulated commercial, medical, and clinical workflows at scale → Therapeutics-tuned models are outperforming generic LLMs in scientific reasoning, safety, and compliance → AI is now evaluated like any core system, by measurable lift across trials, launches, and patient support This is the biopharma AI reset. Less experimentation. More execution. We captured what is changing, where AI is already delivering value, and what leaders should prioritize next in the State of AI in Biopharma 2026 report, grounded in data and real operating conditions rather than hype. See the full report: https://lnkd.in/e2GQxAyZ

Predictive and personalized engagement is no longer a feature. It is foundational infrastructure. Most engagement strategies still assume behavior is static. It isn’t. Patients miss appointments. Members disengage. Eligibility, intent, and context change faster than fixed journeys can adapt. That is why Vi built engagement as part of an enterprise AI platform — not as a point solution. Vi Engage delivers precise, predictive engagement with patients and providers, powered by the same data foundation and intelligence that runs the entire Vi Enterprise AI Platform. It continuously interprets real-world behavioral, eligibility, and intent signals to determine who to engage, when to engage them, and through which channel, then adapts in real time based on what actually performs. How this shows up in practice: →  In healthcare, patients are reached before care gaps widen and utilization declines. → In biopharma, HCPs are engaged when relevance, timing, and attention align. → In wellness, outreach adapts as motivation, routine, and adherence shift. Instead of running fixed tests and hoping insights hold, Vi Engage learns from every interaction, improving performance week over week as conditions change. And because Vi Engage is native to the Vi Enterprise Platform, it does not operate in isolation. Every interaction feeds Vi’s shared data foundation, predictive models, activation, and performance layer, so every action becomes signal, and every signal sharpens the next decision. The result: higher utilization, measurable ROI, and engagement that scales with reality.

Healthcare is past the AI pilot phase. In 2026, the shift is structural. AI is moving out of dashboards and into the operating layer, where work actually happens. A few signals we keep seeing across health systems: → Agentic AI is executing real clinical and operational workflows, not just recommending next steps → Domain-specific healthcare models are outperforming generic LLMs on accuracy, safety, and reliability → AI is now judged the same way as any core system: by measurable ROI, not demos This is the healthcare AI reset. Less experimentation. More accountability. We put our perspective, data, and field observations into the State of AI in Healthcare 2026 report for operators who want to understand what is actually working, what is being phased out, and what the next operating standard looks like. Dive into the report here: https://bit.ly/4taOh3A 

Every delay in healthcare costs millions. When staffing isn’t coordinated, patients miss care. When supply chains break, operations stall. These don’t show up as mistakes. They show up on the balance sheet. Vi Operate changes that. It is built on the idea that AI is becoming the operating infrastructure of healthcare. Vi Operate is the agentic AI suite that creates a living digital twin of the business, pinpoints ROI opportunities, and deploys AI agents to act in real time with full transparency into performance and results. Across the enterprise, Vi Operate drives value in areas like: → Patient communication with timely, personalized outreach across text, phone, and email → Staffing and scheduling by predicting demand and optimizing workforce capacity → Research and insights by automating data collection and accelerating clinical decisions → Supply chain efficiency by tracking inventory, forecasting demand, and resolving shortages before they impact care The result is lower costs, faster execution, and measurable ROI across healthcare operations. This is what it looks like when healthcare runs like a well-oiled machine.

Most AI predictions in healthcare fails before a model ever runs. Not because the models aren’t good, but because the data feeding them is fragmented, delayed, or missing what’s happening in the real world. That’s why at Vi, everything starts with the Data Web. It’s a privacy-safe data foundation that spans 96% of U.S. households and 190M+ individuals, bringing together eligibility, behavior, intent, and health signals into one connected view. Not to create more data, but to help teams answer the questions that actually matter in the moment: → Who needs outreach right now? → Who’s reachable, and who isn’t? → Where are we making decisions too late? A unified data foundation is what turns AI from theory into something teams can act on. Allon Hammer

We’re releasing three State of AI 2026 reports across Healthcare, Biopharma, and Wellness. One conclusion is clear: AI is no longer experimental; it’s becoming core infrastructure and a direct ROI driver. Execution now means: • AI embedded in real workflows across care, clinical, commercial, and wellness ops • Domain-specific models outperforming general AI in regulated environments • Closed-loop systems connecting signals to actions and outcomes • Operating models shifting to AI-orchestrated execution by 2027–2028 • AI managed like infrastructure, with workflow-level accountability Why this matters: Health organizations are making long-term operating decisions based on whether AI reliably improves performance and scales impact. The State of AI 2026 reports are live. Healthcare. Biopharma. Wellness. 👉 Download here: https://lnkd.in/ew8vGySE