Clip-on sensors that continuously measure volume, flow rate, color, and turbidity –streaming data to a secure dashboard, auto-charting to the EHR, and predicting optimal drain removal timing.
Post-operative fluid monitoring is one of the last untouched frontiers of surgical care –still performed manually despite decades of technological advance.
Nurses spend hundreds of hours annually measuring, recording, and managing drains by hand –time diverted from direct patient care.
Prolonged or mismanaged drainage postpones safe drain removal, leading to infections, seromas, and extended hospital stays.
Discharged patients struggle with manual tracking and communication, creating critical data gaps that compromise post-operative care quality.
Watch our team present the Wound-Reel vision and prototype.
Hardware, AI-driven software, and clinical support services integrated to transform fluid management in surgical care.
Clip-on sensors attach to existing drain tubing and urine collection systems, continuously measuring volume, flow rate, color, turbidity, and temperature.
Data streams to a secure dashboard and mobile app with automated alerts. AI predicts optimal drain removal timing for shorter stays and fewer readmissions.
All data auto-charts directly to the patient's electronic health record, eliminating manual charting and reducing documentation errors.
Continuous monitoring extends beyond discharge, giving care teams real-time visibility into patient recovery and enabling data-driven follow-up.
Clip the Wound-Reel sensor onto any standard surgical drain or urine collection system. No modifications needed.
Sensors automatically measure fluid volume, flow rate, and characteristics in real time with clinical-grade accuracy.
AI-driven analytics detect trends, predict complications, and alert care teams before thresholds become emergencies.
Data flows directly into the EMR, enabling evidence-based drain removal decisions from hospital to home.
UVA E-Cup (Healthcare winner), NEOvations (1 of 5), VentureForward (1 of 40), Batten Grant, Bench-to-Bedside, Baylor NewVenture
Underway at Northeast Ohio Medical University; pilot discussions active with Akron Children's Hospital
Interviews with surgeons, nurses, and patients at Memorial Sloan Kettering, Ohio State, Connecticut Children's, and Akron Children's
Active U.S. provisional patent (No. 63/785,130); nonprovisional utility filing targeted by April 2026
A multidisciplinary team bridging clinical training, AI expertise, and proven business execution.
Founded FlowMo and drives product vision. Focuses on rural health innovation and AI-powered clinical decision support.
Co-Founder. Develops sensors, firmware, and device case. Full-stack developer and systems engineer who holds multiple patents.
Leads overall strategy, clinical research, and trial design. Deep learning and LLM experience with peer-reviewed publications and national presentations.
Manages financial strategy and accelerator applications. Previously co-founded Arbitrage (2,000+ items sold, $40K funding).
Leads investor relations with PE and IB experience. Incoming MBA at UChicago Booth School of Business.
Runs operations and engineering integration. Full-stack developer managing 13 clinical trials; founded VAROS Technologies and Vexa Research.
Architects the AI and software platform. Dual M.S. from Carnegie Mellon with prior work at Microsoft, Intel Labs, Intuitive Surgical, and D.E. Shaw.
We're looking for physicians to review and validate our product, and engineers to help push Wound-Reel forward. Reach out if you want to get involved.
Get Involved LinkedIn