Popai Health raises $11M in funding to transform patient phone calls into actionable insights using voice AI

For decades, healthcare organizations have struggled to capture one of the richest sources of patient insight — the phone call. Every day, millions of patients speak with care coordinators, but most of those conversations disappear into the void, undocumented and unanalyzed. Popai Health wants to change that.

The New York–based Voice AI startup announced an $11 million funding round led by Team8 and NEA, with participation from several strategic investors. The company plans to use the new capital to expand its go-to-market efforts, accelerate adoption among health systems and insurance providers, and meet growing demand for smarter patient engagement tools.

Popai’s pitch is simple but ambitious: transform every patient call into structured, actionable intelligence. Its Voice AI system listens to and analyzes calls between patients and care teams, automatically generating documentation that meets compliance standards and triggers real-time workflows. That means if a patient mentions worsening symptoms or medication issues, the system can flag it instantly and alert physicians, schedule appointments, or close care gaps — without adding more administrative burden.

“After deep evaluation of voice capabilities across our healthcare portfolio, we view Popai’s solution as incredibly differentiated,” said Blake Wu, Partner at NEA. “Popai’s platform is designed not only to meet the needs of today’s risk-bearing healthcare organizations, but also to adapt and grow with them. We believe this makes Popai a strong strategic partner both now and into the future, and we are thrilled to support the company’s seed financing and mission to transform care through Voice AI.”

With $11 Million in Funding, Voice AI startup Popai Health Aims to Turn Patient Conversations into Clinical Intelligence

Popai’s Patient Conversation Intelligence platform is already in use by organizations like Essen Healthcare and Clover Health. Built with healthcare-specific AI trained on medical terminology and clinical context, it helps providers automatically capture and structure the 65% of patient interactions that happen over the phone — interactions that traditional EHR systems miss. According to the company, early adopters have seen performance gains of more than 20%, along with improved compliance and documentation accuracy.

“At Essen Healthcare, we’ve always believed that innovation should serve our mission of caring for underserved communities,” said Dr. Sumir Sahgal, Chief Medical Officer at Essen. “Many critical insights often come from the conversations we have with our patients. Popai’s conversation intelligence platform aligns perfectly with our ‘We Care for That’ philosophy by allowing our care coordinators to focus on what they do best: providing compassionate, high-quality care.”

For Team8 Managing Partner Assaf Mischari, the promise of Popai lies in turning the most overlooked engagement channel into a data goldmine. “Phone conversations are the largest patient engagement channel, yet healthcare executives lack deep visibility into this channel,” he said. “Popai enables organizations to see risk patterns emerging across millions of daily conversations, transforming patient interactions into their most valuable data assets while eliminating documentation burden.”

Popai was founded in 2024 by Eyal Gurion (CEO), Michael Latar (Chief Product Officer), and Elad Levy (Chief Technology Officer). Gurion describes the platform not as another analytics tool, but as a system built for action. “One of the most sophisticated patient insight tools in healthcare has always been a conversation with a patient,” he said. “We’re finally giving healthcare organizations the ability to capture and act on those conversations at scale. We’re not building another data platform but an action platform.”

By turning everyday phone calls into clinical intelligence, Popai is betting that the future of healthcare engagement will start where it’s always been — with a conversation.