Custom electronics and firmware
Board and on-device software designed around the sensor and the power budget the use case allows.
- Sensor selection and integration
- Low-power firmware
- Wireless communication to apps and gateways
Wearable devices and ambient sensors that follow frail and elderly patients. From custom electronics to the platform that reads the data.
Or write to us: info@ggtechnologies.sm
The chain starts at the sensor and ends when a doctor or a coach acts on the reading. If one link is weak — battery life, signal quality, the way the data reaches the person who has to read it — the device ends up in a drawer.
We design the whole chain. Electronics and firmware on one side, the platform that collects and processes the data on the other. We have built wearable solutions for vital-signs monitoring in both healthcare and sport.
Monitoring of patients and the elderly, with data readable by those who provide care.
Athletes' physiological parameters, captured continuously during activity.
Our DigiSense® framework is the base for data acquisition and processing.
Board and on-device software designed around the sensor and the power budget the use case allows.
Where device data becomes readable: continuous collection, thresholds, alerts and history for the doctor, coach or caregiver.
Biological signals are noisy and voluminous. We filter them, normalise them and make them queryable.
Not everything is worn. Sensors in the home that follow the environment and the routines of frail and elderly patients, without asking them to remember anything.
Which reading you actually need, how often, and who reads it. Get this wrong and it cannot be fixed later without redoing the board.
Sensor, power budget, form factor and data platform are chosen together: they constrain each other.
Prototype, firmware, platform and field trials with the people who will use the device.
Production rollout, maintenance and evolution over time.
Both. We design custom electronics and firmware, and the platform that collects and processes the data. They are two halves of the same project: separating them is the fastest way to end up with a device nobody uses.
The requirement, not the technology. In sport, continuity of measurement under effort matters; in healthcare, data reliability and traceability of who consulted it matter. Design choices change, the skills do not.
Yes. Often the hardware already exists and what is missing is the platform that makes the data usable, or the firmware needs reworking to cut power draw. We start from what is already there.
Wherever you decide. We also build architectures where processing stays on your own servers and the data never leaves your infrastructure — the same principle Podz.AI is built on.