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Oasys

Category: AI in Healthcare

An AI-native operating system for behavioral health that unifies electronic health records (EHR), practice management, and real-world physiological data into a single intelligent platform. Oasys was founded in 2024. The company is led by Hashem Abdou. Based in New York, USA. Team size: 11-50. Total funding raised: $4.6M. Latest round: Seed ($4.0M, Jan 2026). Key investors include Pathlight Ventures, 1984 Ventures, Twine Ventures, Better Ventures.

Founded
2024
Headquarters
New York, USA
Team size
11-50
Total funding
$4.6M

Value proposition

Eliminates administrative burnout by saving clinicians over 10 hours per week through automated documentation and billing, while transforming mental healthcare from a subjective practice into a data-driven discipline.

Products and solutions

AI-Native EHR & Practice Management System, Ambient AI Clinical Scribe (Automated Documentation), Automated Billing & Insurance Reimbursement Engine, Managed RCM (outsourced claims submission, tracking, and reconciliation), Wearable Data Integration Platform (Apple Watch, Oura, Strava, Flo), Clinical Decision Support System, IM+CANS / Illinois Medicaid Assessment Support, Oasys Health Patient App (Mood logging & AI-driven insights)

Unique value

Oasys is the first platform to bridge the gap between unstructured clinical therapy notes and continuous physiological data from consumer wearables, providing a 'connective tissue' for objective mental health measurement.

Target customer

Behavioral health clinics, private therapy practices, Managed Service Organizations (MSOs), and educational institutions (universities/schools) managing campus mental health.

Industries served

Behavioral Health, Mental Health Services, Healthcare Information Technology (HealthTech), Higher Education (Campus Wellness)

Technology advantage

Utilizes a neuro-symbolic AI architecture that combines the pattern recognition of neural networks with the logical reasoning of symbolic AI to ensure clinical accuracy and eliminate the 'hallucinations' common in standard LLMs.

How they differentiate

Oasys differentiates through an 'AI-native' EHR architecture that integrates longitudinal physiological data from wearables (Oura, Apple Watch) with clinical notes. Unlike competitors that focus solely on ambient scribing or administrative management, Oasys uses neuro-symbolic AI to provide objective clinical decision support and eliminate hallucinations in mental health documentation.

Main competitors

Eleos Health, Upheal, SimplePractice, Ambience Healthcare

Key partnerships

Pathlight Ventures (Lead Investor), 1984 Ventures, Twine Ventures, and Better Ventures, Wearable ecosystem partners (Apple Health, Oura, Strava, Flo), 25+ Clinical Partner Organizations and University Mental Health Centers

Notable customers

Camino Nuevo Charter Academy (school-based mental health), Lowry Hill Psychotherapy, SoCal Soul Family Therapy, Tate Psychotherapy, 25+ Clinical Partner Organizations, University Mental Health Centers, Managed Service Organizations (MSOs)

Major milestones

Closed $4.0M Seed round led by Pathlight Ventures in January 2026, Developed proprietary neuro-symbolic AI engine for clinical reasoning, Launched Oasys Health patient-facing application for mood and wearable data tracking, Established integration partnerships with Apple Health, Oura, and Strava, Published customer case studies with Camino Nuevo, Lowry Hill, SoCal Soul, and Tate Psychotherapy (Jul–Aug 2026), Launched Managed RCM billing service and IM+CANS Illinois Medicaid workflow support (2026)

Growth metrics

Onboarded 25+ clinical partner organizations; case studies report ~40% less documentation time and 8–9 hours saved per clinician per week (Camino Nuevo); Managed RCM and wearable integrations live with named group and school-based practices.

Market positioning

Seed-stage AI infrastructure challenger for the behavioral health and campus wellness sectors.

Geographic focus

North America (primarily United States)

Patents and IP

No specific registered patents disclosed; proprietary neuro-symbolic clinical reasoning engine and data integration schemas serve as core IP.

About Hashem Abdou

Previously worked at Egyptian fintech startups Khazna and Klivvr; studied Biomedical Engineering and Computer Science at Harvard University, including undergraduate research on genome editing in the Church Lab at Harvard Medical School.

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