Problem

Medical clinics lose revenue and staff capacity because front desks must manually handle calls, cancellations, waitlists, rescheduling, and other EHR workflows. The pain is especially acute when legacy or proprietary EHRs lack usable APIs: staff have to coordinate fragmented systems, while last-minute openings often remain unfilled because calling eligible patients is too slow. Novoflow identifies cancellation recovery as the central use case—detecting an open slot, finding a suitable waitlisted patient, contacting that patient, and restoring the appointment directly in the clinic’s schedule. The company reports backfilling 50% to 80% of same-day cancellations and recovering $10,000 to $50,000 in weekly revenue.

Product / Service

Novoflow provides AI employees for healthcare operations, beginning with a multilingual AI receptionist and cancellation-recovery agent. Its visual-AI framework operates directly on the EHR interface rather than requiring an API or database integration: it monitors the schedule, recognizes cancellations, selects appropriate waitlisted patients, contacts them by voice, and books the replacement appointment as a staff member would. The broader platform is designed to handle patient calls, scheduling, rescheduling, appointment recovery, and eventually other administrative workflows across healthcare providers and hospitals.

The delivery model is designed for rapid deployment into existing workflows. Novoflow says clinics can go live in as little as 24 hours, typically within one to five business days, with no IT lift, including in legacy, Citrix-hosted, or remote-desktop environments. It signs a business associate agreement, encrypts protected health information, maintains audit controls, and uses outcome-based pricing in which clinics pay for successfully automated tasks rather than a flat subscription. The intended benefit is more filled schedules and lower front-desk workload without replacing the clinic’s existing EHR.

Market

Novoflow competes in AI-powered healthcare operations automation, particularly the overlap among AI voice agents, patient access and communications, appointment scheduling, and EHR interoperability. Its initial customers are medical clinics, specialty groups, surgery centers, healthcare providers, and hospitals. The closest visible comparables include Hyro, whose healthcare AI agents automate call centers, scheduling, and access workflows, and Infinitus, which uses voice AI to automate clinical and administrative healthcare calls. Novoflow’s differentiation is its EHR-agnostic, screen-level automation for clinics whose systems cannot support conventional API integrations.

The company appears to be early commercial rather than pre-revenue. Novoflow was founded in 2025, entered Y Combinator’s Spring 2025 batch, and was listed as active; its November 2025 fundraising materials stated that it had five paying medical practices and that it had raised a $3.1 million seed round. By July 2026, its website was offering paid 30-day pilots and reporting outcome-based deployment metrics, but no public revenue figure or named customer list was found. This indicates initial paid adoption and demand, while the company remains a small, venture-backed startup scaling beyond its early clinic base.