What You Should Know:
– Oasys Health (“Oasys”), the first AI-native operating system for behavioral health, today announces $4.6M in funding, including a $4M seed round led by Pathlight Ventures, with participation from Twine Ventures and Better Ventures, and $600K in pre-seed funding from 1984 Ventures.
– As demand for mental health support surges, Oasys will use new capital to enhance its AI-powered platform, deepen integrations with leading wearables and health apps, grow its engineering and data science teams, and expand its network of partnerships with health clinics, behavioral health centers, Managed Service Organizations (MSOs), and universities and schools investing in long-term campus mental health infrastructure.
Inside the Oasys Platform: From Reactive Therapy to Continuous Care
Mental health care is at an inflection point. Rates of anxiety, depression, and burnout continue to climb, yet the systems meant to deliver care remain fragmented, reactive, and largely analog. Unlike other areas of medicine that now rely on continuous data, automation, and measurable outcomes, behavioral health still depends heavily on episodic sessions, clinician recall, and intuition.
Clinicians are forced to work across disconnected tools built primarily for billing rather than care, while administrative burden drives burnout and limits capacity. Patients, meanwhile, often enter care only after symptoms escalate, with little ability to track progress or intervene earlier. The result is a widening gap between what modern technology makes possible and how mental health is actually delivered.
Oasys Health was created to close that gap by bringing clinical precision, operational intelligence, and continuous data integration into one unified system—treating mental health with the same rigor applied to physical medicine.
Oasys is an AI-native operating system designed specifically for modern mental health clinics. Rather than optimizing isolated workflows, it unifies practice management, clinical decision support, and real-world physiological data into a single intelligent layer that supports clinicians, organizations, and patients simultaneously.
The platform automates core operational workflows—documentation, scribing, scheduling, billing, and insurance reimbursement—while integrating securely with leading wearables and health apps including Apple Watch, Oura Ring, Strava, and Flo. This allows continuous ingestion of behavioral and physiological signals such as activity, sleep, heart rate, glucose trends, and menstrual cycles, translating them into clinically meaningful insights.
For behavioral health organizations
• Reduced operational friction through automation and real-time analytics
• Clear visibility into site-level performance, outcomes, and revenue
• Lower clinician burnout and more scalable clinic operations
For clinicians
• More than 10 hours saved per week on administrative work
• AI-driven insights from unstructured notes and wearable data to surface early risk signals
• Support for proactive interventions and new revenue streams via Remote Patient Monitoring (RPM) CPT codes
For patients
• Care that extends beyond the therapy session
• Personalized, preventive, and measurable treatment journeys
• Continuous feedback loops that connect mental and physical health
As CEO and co-founder Hashem Abdou notes, Oasys reflects a broader shift in mental health care: AI is not replacing clinicians—it is finally equipping them with objective data, continuous insight, and tools that match the complexity of human health.
Momentum, Measurable Impact, and What Comes Next
Oasys is quickly positioning itself as foundational infrastructure for behavioral health organizations seeking clinical rigor and operational scale.
Current traction includes
• Partnerships with more than 25 clinics, supporting hundreds of providers and thousands of patients nationwide
• New clinics onboarding within 48 hours each week
• Thousands of therapy sessions logged since launch
• Demonstrated reductions in claim denials and faster reimbursement driven by AI-powered documentation accuracy
• Improved patient engagement and higher compliance with symptom and progress tracking
Looking ahead to 2026, Oasys plans to launch a comprehensive outcomes measurement framework, giving clinicians standardized tools to track patient progress and demonstrate therapy effectiveness over time. The company is also preparing to scale its platform to more than 1,000 enterprise-level mental health organizations that prioritize measurable outcomes, clinician sustainability, and data-driven care delivery.
By unifying AI, automation, and real-world data into a single operating system, Oasys is not incrementally improving mental health workflows—it is redefining how mental health care is delivered, measured, and scaled.
