Care strategy variation between similar
patients should not exist. But it does.
patients should not exist. But it does.
Clinicians design care strategies while not
considering ~90% of available and useful data.
considering ~90% of available and useful data.
Project M platform optimizes care strategies, patient by patient,
achieving ultimate accuracy through AI and causal inference
Our platform leverages similarities between patients to deliver instantaneous,
individualized care strategy optimizations, ensuring improved outcomes at minimized costs
individualized care strategy optimizations, ensuring improved outcomes at minimized costs

Individualized care in all dimensions
- Instantaneous, evidence-based medicine
- Utilization of the entire medical record
- Real-time recommendations
- Optimization of each decision in the
patient journey - Clinical outcome & cost implications of
each treatment option
Strategic insights for management
- Harmonized clinicians-management dialog
- Scenario simulations for clinically
driven economic optimization - Supporting value-based care
A Platform Designed for Diverse Clinical Indications
Validation of the First Use Case: Treatment of Hip Fracture
Cost
reduction
reduction
Clinical
improvement
improvement
Proven results across clinical outcomes and operational efficiency - just the beginning of what's possible*
* The algorithm was developed based on retrospective data of 15,000 cases, between the years 2014-2024
CMS’s Incentive Program Compliance
Project M’s platform is the optimal solution to maximize the advantages of the Transforming Episode Accountability Model (TEAM), proposed by CMS to revolutionize healthcare delivery
Our comprehensive validation study measures ProjectM's impact on key metrics including length of stay variance, patient outcomes, cost savings, and readmission rates. These align directly with TEAM's objectives
Our comprehensive validation study measures ProjectM's impact on key metrics including length of stay variance, patient outcomes, cost savings, and readmission rates. These align directly with TEAM's objectives

Reducing clinical care costs
while improving care quality
while improving care quality
Enhancing care coordination
across the entire episode
across the entire episode
Supporting data-driven
infrastructure improvements
infrastructure improvements
Optimizing value-based
care delivery
care delivery
With our platform's demonstrated success in TEAM compliance, ProjectM stands
ready to optimize outcomes across current and future CMS incentive programs
ready to optimize outcomes across current and future CMS incentive programs
Management Team

Dr. Ahuva Weiss-Meilik
Founder CEO

Danny Glushenkov
COO

Dr. David Dov
CTO

Dr. Gad Levy
Clinical & IT Lead

Dr. Aviya Bennett
Principal AI scientist

Adam Woddis
Head of Product Management

Daphna Heller-Miron
Clinical Expert

Adam Lauz
Senior ML Engineer

Noa Geismar
Economist

Dr. Amit Benady
Orthopedic Surgeon & Researcher
Advisors

Prof. Richard Iorio
Vice Chairman, Clinical Effectiveness

Prof. Daniel Nevo
Causal Inference