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Medi MRF
In Active Development

Automated Waste Sorting for Healthcare

Cutting waste disposal costs, mitigating human health and regulatory risk, and driving clinical sustainability.

MediMRF operates downstream at hospital loading bays, analyzing and sorting bagged municipal solid waste after clinical disposal to intercept misclassified items before municipal haul or expensive thermal treatment.

Downstream
Post-Disposal Sorting
Precision AI
Multi-Stream Optical Vision
Zero Overhaul
Hospital Dock Integration
Risk Defense
RMW & Sharps Interception

System Architecture

Post-Disposal Automated Intelligence

Built to handle complex hospital municipal streams without altering clinical staff routines upstairs.

AI & Computer Vision Sorting

Directly analyzes MSW streams to segregate recyclables, compostable materials, and landfill, while catching improperly disposed regulated medical waste (RMW), hazardous items, sharps, and pharmaceuticals with high precision.

High-Precision Hazard Detection

Compact Loading Dock Footprint

Engineered with a compact physical footprint specifically configured to fit inside existing hospital loading bays. It integrates smoothly into environmental service (EVS) cart flows without facility redesigns or capital-heavy overhauls.

Drop-in Bay Compatibility

Waste Diversion & Risk Mitigation

Redirects misclassified waste streams and prevents overclassification across entire hospital networks. Eliminates unnecessary high-cost hazardous hauling while accelerating institutional landfill diversion and sustainability goals.

ESG Impact & Budget Protection
Funding Milestone

Raised $42,500 in Non-Dilutive Awards & Venture Funding

Supported through competitive grants and venture fellowships to advance automated hospital waste sorting. For donations, research grants, or philanthropic partnerships, please reach out to our team.

Engineering & Development

Looking for Engineers in AI, Computer Vision & Robotics

We are actively looking for engineers and technical collaborators to assist us with development. If you are experienced in computer vision, robotics, or machine learning and want to help build high-speed sorting infrastructure for healthcare facilities, let's connect.

Computer Vision AI & Deep Learning Robotics & Actuation Hardware & Mechatronics
Join / Assist Us medimrfcompany@gmail.com
Leadership

Meet the Founders

Developed through the Bren School of Environmental Science & Management's Eco-Entrepreneurship (Eco-E) program at UC Santa Barbara.

Ryan Stanley
Co-Founder

Ryan Stanley

Project Management & Financials

MESM, Bren School of Environmental Science & Management, UCSB
B.S. Environmental Science, University of Southern California (USC), 2024
Financial Modeling & Operations
Nicholas Leong
Co-Founder

Nicholas Leong

Communications & Data

MESM, Bren School of Environmental Science & Management, UCSB
B.S. Environmental Science, UCLA, 2024
Data Analytics & Stakeholder Relations

Research & Demonstrations

Videos & Academic Briefings

Explore our concept overview, team mission, academic presentation, and Bren project documentation.

Concept Video

MediMRF Concept Video

A conceptual video with information detailing the MediMRF system architecture, operational workflow, and post-disposal clinical value proposition.

Team Video

Our Mission & Vision

Meet the founders and discover how MediMRF was initiated through the UCSB Bren School's Eco-Entrepreneurship fellowship.

UCSB Bren

Bren Project Website

Read our academic briefings, Eco-Entrepreneurship project scope, and environmental analysis published on the UC Santa Barbara Bren School website.

Academic Defense

Academic Presentation

Full video presentation and master's project defense detailing hospital waste characterization and technical feasibility.

Inquiries & Partnerships

Connect With the MediMRF Team

For hospital pilot possibilities, research collaborations, grant opportunities, or further inquiries, reach out to explore partnership with our team.

medimrfcompany@gmail.com