
Healthcare
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Healthcare Operations
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds logistics infrastructure to automate physician scheduling and care coordination for academic medical centers using a proprietary Optimization Programming Language.
Scheduling Wizard has publicly confirmed expansion from automated block/call/clinic scheduling into broader care coordination tools, including patient triaging and provider management, working with partner departments at UCSF and other leading institutions. They have 19 departments across 14 hospitals including contracts with Mass General, Johns Hopkins, UT Southwestern, LA General, and UCF. Their proprietary Optimization Programming Language is central to their public product narrative, with a stated goal of eliminating hundreds of hours of manual scheduling per program.
The founding team's backgrounds hint at deeper predictive logistics capabilities than currently marketed. The CEO received a civilian service medal for logistics algorithm development, suggesting government-grade optimization IP. No open-source footprint or public technical blog exists, indicating a deliberately closed, defensible tech moat. The absence of public job postings despite YC backing suggests either stealth hiring for specialized ML/optimization roles or a lean, capital-efficient approach focused on proving unit economics before scaling. Conference and demo day signals point toward EHR integration and predictive staffing as near-term priorities.
Automated multi-constraint physician schedule generation using proprietary optimization algorithms to eliminate hundreds of hours of manual scheduling per program.
It's like having a genius puzzle-solver that instantly builds the perfect doctor schedule so no one has to spend weeks doing it by hand.
It's like replacing the person who spends three weeks solving a 10,000-piece jigsaw puzzle with a robot that finishes it before your coffee gets cold.
Intelligent patient triaging and provider-matching engine that uses ML to route patients to the optimal provider based on acuity, specialty, availability, and historical outcomes.
It's like a smart matchmaker that pairs every patient with exactly the right doctor at exactly the right time, instead of whoever happens to be free.
It's like upgrading from a restaurant host who seats you at the first open table to one who knows you hate drafts, love booths, and that Chef Marco makes the best risotto — and seats you accordingly.
Predictive demand forecasting and staffing optimization that anticipates clinical coverage gaps before they occur, enabling proactive resource allocation.
It's like a weather forecast for your hospital's staffing needs — telling you where the shortages will hit before anyone calls in sick.
It's like having a crystal ball that tells the hospital "you'll need two extra ER doctors next Thursday" instead of finding out at 2 AM when everyone's already exhausted.
The founding team uniquely combines Samuel Oberly's academic-grade mathematical optimization expertise (Johns Hopkins MS in Applied Mathematics, Cambridge-trained, published mathematician with a civilian service medal for logistics algorithm development), Abdelrahman Hamimi's production-grade cloud engineering (AWS-certified solutions architect, Johns Hopkins MS+BS in CS + BA in Economics, built internal automation at GEICO), and Zachary Dermody's real-world supply chain operations experience (Amazon, McMaster-Carr, Johns Hopkins Economics+CS), a rare trifecta purpose-built for healthcare logistics.