Oasys Health, a New York-based behavioral health startup, raised $4.6 million in funding to expand its AI-powered platform that automates administrative tasks while integrating real-time data from wearables to improve mental health care delivery. The funding round was led by Pathlight Ventures and included participation from Twine Ventures and Better Ventures, along with $600K in pre-seed funding from 1984 Ventures.
The Platform and Differentiators
Oasys supports behavioral health organizations by automating documentation, scribing, billing, scheduling, and insurance reimbursements. The platform syncs with wearables and apps including the Apple Watch, Oura Ring, Strava, and Flo to help providers understand patients’ wellbeing. According to CEO Hashem Abdou, Oasys aims to “make mental health more objective and measurable and data-driven” by “building the operating system for modern mental health.”
What differentiates Oasys from competitors, Abdou explained, is that it combines the electronic health record, an AI copilot, and real-world data in one platform. While other companies offer individual aspects—such as Abridge, which provides ambient scribe services—Oasys integrates them comprehensively. “Therapy isn’t just a weekly conversation, but more of a continuous and data-informed care journey,” Abdou said.
The Mental Health System’s Current Crisis
The mental healthcare system is “very outdated and reactive,” according to Abdou, even as other healthcare areas have embraced data and automation. Clinicians are “overwhelmed and overburdened” with administrative work, leaving less time for delivering quality care. As a result, patients “are treated much more episodically, and often seek treatment really once things really get bad and reach a breaking point.” With the new funding, Oasys will improve its AI platform, deepen integrations with wearables, grow its engineering and data science teams, and expand partnerships with providers.
Charley Ma, partner at Pathlight Ventures, stated that Oasys is “defining a new category in mental health care” and moving “beyond legacy EHRs and fragmented point solutions to build a truly comprehensive data backbone,” setting “a new standard for how the world clinically understands and supports mental health.”
This article is an AI-assisted summary. All facts and figures are drawn from the original report: https://medcitynews.com/2026/01/oasys-mental-health-ai/