Novoflow Raises $3.1 Million Seed Round to Expand AI-Driven Healthcare Operations

Novoflow, a San Francisco–based healthcare technology startup building AI “employees” to automate administrative workflows for medical clinics, has raised $3.1 million in seed funding to accelerate product development, team expansion and customer growth. The funding round marks an important milestone for the company, which was founded in 2025 by Mathieu Rihet and Georges Casassovici and focuses on reducing the heavy operational burden faced by medical practices across the United States.

The seed round was led by super angel investor Justin Hamilton, with participation from N1 Ventures, Multifaceted Capital, and Standard Partners Fund. In addition, Novoflow is backed by startup accelerator Y Combinator, which the company joined as part of its Spring 2025 cohort. The combination of individual angels, institutional venture capital and accelerator support reflects strong investor confidence in Novoflow’s approach to healthcare automation.

Novoflow develops artificial intelligence tools designed to integrate directly with legacy electronic health record systems commonly used by clinics. Its flagship product functions as an AI-powered receptionist capable of answering inbound and outbound calls, scheduling and rescheduling appointments, handling cancellations and recovering missed bookings. By automating these tasks, the platform aims to reduce staff workload while improving patient access and clinic revenue retention.

Healthcare providers often struggle with outdated software systems and fragmented workflows that lead to missed appointments, inefficient scheduling and staff burnout. Novoflow’s technology is designed to operate within these existing environments, minimizing disruption while delivering measurable operational improvements. Early users have reported increased provider utilization and reduced administrative overhead as the AI agents take over repetitive, time-consuming tasks.

The newly raised capital will be used to expand Novoflow’s engineering team and accelerate development of additional features, including deeper integrations with a wider range of electronic health record platforms. The company also plans to invest in infrastructure to support higher call volumes and workflow complexity as it onboards more clinics. Hiring across engineering, operations and customer success is expected to play a central role in scaling the business.

Novoflow has begun working with medical practices across several specialties, including primary care, radiology, dermatology and rheumatology. These specialties tend to face especially high administrative demand, making them well suited for automation. By improving appointment adherence and reducing manual scheduling errors, Novoflow aims to help clinics increase revenue while improving the overall patient experience.

The company’s founders launched Novoflow after observing firsthand how administrative inefficiencies can undermine healthcare delivery. Their long-term vision extends beyond scheduling automation, with plans to deploy AI agents across other operational functions such as billing workflows, insurance verification and claims processing. By shifting routine operational tasks to AI systems, Novoflow aims to allow clinical staff to focus more time on direct patient care.

Participation in Y Combinator provided Novoflow with early mentorship, access to a global startup network and increased exposure to investors. This accelerator backing helped the company refine its product strategy and supported its successful seed fundraising. Investors in the round have emphasized the growing demand for practical AI solutions that can be deployed quickly within real-world healthcare settings.

With $3.1 million in seed funding secured, Novoflow is positioned to continue expanding its footprint within the healthcare industry. The company’s focus on automating operational workflows addresses a persistent pain point for clinics navigating staffing shortages and rising administrative costs. As Novoflow scales its AI workforce across more practices, it aims to play a meaningful role in reshaping how healthcare organizations manage day-to-day operations while maintaining a strong emphasis on efficiency, reliability and patient access.