Webbeon HealthCare
One wearable device. Three verticals. Continuous AI intelligence. From sensor data to life-saving alerts — in under 500 milliseconds.
The Problem
Today's care model waits for something to go wrong. Vital checks every 4–8 hours. Siloed devices. No predictive intelligence. Patients fall between the cracks — literally and figuratively — while caretakers burn out from alert fatigue and manual workflows.
Why Now
Costs dropped. Clinical-grade sensors — SpO2, cuffless BP, EEG-lite — now fit a wristband at consumer price points.
Transformer architectures and time-series models can predict clinical events hours in advance. MLOps tooling to serve them in production is finally ready.
Aging population. Post-COVID remote monitoring awareness. Caretaker burnout crisis. Rehab facilities under pressure to demonstrate outcomes.
Traction
The Product
A single wearable with software-defined sensor profiles. The same hardware serves long-term care, home caretakers, and addiction rehab — configured per vertical, personalized per patient.
AI Engine
Deterministic, auditable safety rules. Configurable thresholds per patient. Fall detection via IMU pattern matching. Zero tolerance for false negatives.
Patient-specific models that learn over time. Anomaly detection, baseline drift, "something's off" scoring. Adapts to each individual.
Transformer architectures predicting clinical events before they happen. Relapse risk, fall probability, cognitive decline trajectories.
Architecture
Sensor data flows from wearable to BLE gateway, through the cloud pipeline, into the AI engine, and out as an actionable alert — all in under 500 milliseconds. Offline-first design ensures zero data loss during connectivity gaps.
Markets
The Moat
Business Model
Regulatory
Roadmap
Cloud platform, real-time data pipeline, ML model development, mobile and web applications
Care workflow design, alert validation, regulatory strategy, clinical study design, facility relationships
Wearable PCB design, sensor integration, BLE firmware, manufacturing, supply chain
We have the team, the customers, and the technology.