Funding
Funding not disclosed
Founders
Product
Problem
Neonatal caregivers lack objective, real-time data on how newborns feed, making it difficult to detect feeding difficulties, assess nutrition intake, and intervene early to prevent complications.
Solution
Solica Connect is developing sensor‑enabled feeding tools that capture detailed metrics of infant sucking, swallowing, and breathing during bottle or breast feeding. The collected data are processed with analytics algorithms to generate actionable insights such as feeding efficiency, volume intake, and signs of distress. Clinicians can view aggregated reports through a secure web portal to monitor progress and adjust care plans, while caregivers and parents receive simple visual feedback and alerts on their mobile devices. By turning feeding events into quantifiable data, Solica Connect aims to improve early‑life nutrition outcomes and support timely clinical decisions.
Target Audience
Primary users are neonatal intensive care unit clinicians, pediatric nurses, and home caregivers—including parents—who monitor and support feeding in newborns.
Features
- Integrated pressure and flow sensors in feeding devices to record sucking strength, rhythm, and volume in real time
- Machine‑learning models that translate raw sensor data into clinically relevant metrics (e.g., feeding efficiency, apnea events)
- Secure cloud platform that stores session data and provides trend analytics over days and weeks
- Mobile and web dashboards with customizable visualizations and alerts for caregivers and clinicians
- Compatibility with existing electronic health record systems via standard APIs for seamless data integration