Sully.ai approaches healthcare automation from an agentic, end-to-end perspective. Where many health tech startups build a single point solution, such as an AI scribe or a billing tool, Sully.ai frames its product as a team of autonomous 'AI medical employees' that collectively run the operational backbone of a hospital or clinic. Its AutonomousOS platform coordinates these agents to perform clinical documentation, administrative workflows, and revenue cycle tasks without constant human intervention.
The platform's agents handle a broad range of work: generating clinical notes from patient encounters, processing prior authorizations, verifying insurance eligibility, automating scheduling, and managing revenue cycle steps like claims preparation. By stitching these tasks together under one orchestration layer, Sully aims to reduce the headcount and manual effort required to keep a practice running, while improving speed and accuracy across the board.
Founded in 2023 by Ahmed Omar and Ahmed Nasser, Sully.ai is a Y Combinator-backed company that has grown quickly by targeting the administrative overhead that consumes a large share of healthcare spending in the United States. The pitch resonates with physician practices and health systems under pressure to do more with constrained staffing budgets, where automating even a fraction of administrative tasks delivers meaningful ROI.
In January 2025, Sully.ai raised a $21.8 million Series A from investors including AUM Ventures, Leonis Capital, SemperVirens, and the Sequoia Scout Fund, along with notable angels such as Rocket Money founder Haroon Mokhtarzada. The company has raised roughly $30 million in total. The capital supports product development, agent capabilities, and commercial expansion.
As agentic AI matures, Sully.ai is betting that healthcare organizations will increasingly adopt autonomous agents for operational work rather than assembling a patchwork of single-purpose tools. Its all-in-one positioning differentiates it in a crowded clinical AI market, though it must execute across many complex, regulated workflows simultaneously.