IoT Devices
Building the Data Layer of Future Healthcare
SGP Precision Manufacturing designs and builds clinic-grade, community-ready, and lifestyle-integrated IoT devices that capture high-resolution physiological signals and feed them into intelligent clinical and AI systems.
IoT Device Platforms
Precision-engineered IoT systems designed to capture structured, high-resolution physiological data across clinics, communities, and everyday life.
Doq EX
Clinic-grade assessment system designed to acquire high-fidelity physiological signals through structured, reproducible protocols.
- High-resolution biosignal acquisition
- Protocol-driven clinical assessments
- Designed for clinics and satellite centres
K Ring
A discreet ring-form wearable designed for long-term, high-compliance physiological monitoring in daily life.
- HRV, sleep, stress & recovery patterns
- Comfort-first, habit-friendly design
- Longitudinal health insight
Smart Clothes
Sensor-integrated garments that extend health monitoring into the fabric of everyday movement and recovery.
- Posture & movement sensing
- Rehabilitation & elder-care use cases
- Durable, wash-cycle-ready construction
Pulse Kiosks
Walk-up assessment kiosks designed for population-scale health screening and engagement.
- 3–7 minute guided assessments
- Public & semi-public deployments
- Anonymous or profile-linked use
Medical-Grade Sensor & Hardware Design
Our IoT platforms begin at the signal level. Sensors are selected, calibrated, and integrated with the explicit goal of capturing stable, reproducible physiological data—not just “activity signals.”
This allows our devices to support clinical interpretation, longitudinal tracking, and integration into decision-support systems such as I-PRISM.
Key Focus Areas:
Designed for Clinics, Communities, and Daily Life
SGP IoT devices are engineered to operate reliably across diverse environments—from specialist clinics to community kiosks and everyday wearable use.
Design decisions consider ergonomics, workflow impact, and user behavior, ensuring adoption without increasing clinical burden.
Deployment Contexts: