AI-native care startup Circle Health secured new funding from A.P.T. Research and Momentum Capital to grow its US sales team and clinical workforce. The company reached $1 million in annual recurring revenue within a year of entering the US market, focusing on outcome-based care coordination for senior facilities.
Circle Health, an Indian-founded startup specializing in AI-driven care coordination, has secured an undisclosed funding round to accelerate its growth in the United States. The investment, completed in February 2026, includes participation from new investors A.P.T. Research and Momentum Capital. Existing backers Enzia Ventures and Sparrow Capital also participated, choosing to increase their stakes in the company.
Scaling Operations in the US Market
Since entering the US market in March 2025, Circle Health has focused on the senior care sector. The company reports that it achieved its first revenue within six months and crossed $1 million in annual recurring revenue (ARR) by April 2026. This growth is being driven by demand from physician groups and skilled nursing facilities. With the new capital, the company plans to expand its US-based sales team, increase its clinical workforce—which includes both domestic and offshore staff—and further develop its proprietary AI technology.
Revenue Model Based on Patient Outcomes
The business model at Circle Health deviates from traditional hourly billing by using a revenue-share agreement linked to patient outcomes. The company utilizes an AI platform to automate clinical documentation, identify gaps in patient care, and monitor health data. To ensure quality, a global clinical team, including nurse practitioners, reviews and validates the AI-generated outputs before they are finalized. By focusing on measurable results rather than time spent, the company aims to differentiate itself from competitors that rely on conventional billing methods.
Execution and Market Risks
While the company has seen rapid early growth, the transition into the US healthcare market involves inherent execution risks. Operating a care coordination model that spans multiple continents requires precise management of medical compliance, data privacy, and clinical quality standards. As the company scales, its ability to maintain profit margins will depend on its capacity to manage costs associated with its large clinical workforce while ensuring the AI platform remains accurate and compliant with US healthcare regulations. Investors may track the company's progress in converting its pipeline of over 400 facilities into active, revenue-generating contracts as it works to balance aggressive expansion with operational efficiency.