Medical wearables
Wearable devices and ambient sensors for patients, the elderly and athletes: from custom electronics to the data platform.
- Custom electronics and firmware
- Remote-monitoring platforms
- Physiological signal processing
Medical wearables, robotics and AI · San Marino
We were doing machine learning before it was called AI.
We design and build the technology that fits your processes: electronics, firmware, robots and models, on one shared base. That base is our own DigiSense® framework, and the principle is firm — AI reads, proposes, prepares. A person always does the validating.
Or write to us: info@ggtechnologies.sm
1997
the first project
18
years in manufacturing
900
workers in the study
What we do
Three practices that usually live in three different companies.
Electronics, robotics and artificial intelligence under one roof: from idea to product, under a single responsibility.
Robotics & Automation
We have automated factories from the inside, not as suppliers, and handed robots manual work. From process analysis to going live.
- Automation at the machine
- Integration with embedded systems
- Where the process loses time
Artificial Intelligence
AI applied to real work: agents and language models integrated into the systems you already run. The decision stays with the person who answers for it.
- Agents built for one defined job
- The person who validates
- Data analysis and transformation
The three come together in a single object: the robot we are building has the electronics, the movement and the model on board, on one shared base. See how it is built →
Sectors we have worked in: healthcare, sport, manufacturing, sales networks.
Why us
Four things we bring to every project.
01
Expertise
Since 1997 across electronics, firmware, robotics and software. We design what we deliver, the electronics included.
02
Our own technology
DigiSense® is the registered framework under every implementation with AI, sensors or robots. Podz.AI came out of it, and so does what we are building now.
03
Your process
First we understand how you work, then we choose the technology. Sometimes the answer is a robot, sometimes a line of code, sometimes doing nothing.
04
People decide
AI reads, proposes, prepares. The decision stays with whoever answers for it: we design it that way from the start, as an architectural choice.
Training
Practical AI courses, for companies and professionals.
Six courses with a set programme, four hours in two sessions, online or on site: from professional use of assistants to local models, from software development to contracts.
Our product
Podz.AI — AI on your own computer.
Your data stays where it is.
Designed in Europe · on the DigiSense® framework
The personal AI workstation for people who work with confidential data.
A single application, installed on your computer, that works on your documents directly on the machine. The cloud is a choice, not the default: private local models and specialists — legal, web research, CV screening — installed with one click.
30-day free trial on first launch · Windows, macOS and Linux
Local-first and private
Conversations and documents stay on your machine, in an encrypted database.
Built-in anonymiser
If a job goes through the cloud, personal data can be masked before it is sent.
One-click specialists
Legal Assistant, Web Researcher, CV Screening: ready-made expertise, like apps.
Project in development
We are building a robot for home care.
On a Reachy Mini base, with voice and a model running on board: the robot sees and hears, but what it recognises stays in the house. Camera, microphone, temperature and humidity, with the streams staying on the machine.
We work on it because it is the hardest test DigiSense® can face: sensors, model and voice on one machine, inside a real home. The prototype works — an LLM on board, microphone, camera, temperature — and the project page says what it does today, what we are adding, and who we would like to try it with.
About us
A team that keeps electronics, robotics and AI together.
G&G Technologies Srl designs and builds technology from the Republic of San Marino. It is led by Gian Angelo Geminiani, who has worked in this trade since 1997. Around him, a network of collaborators and technology partners across several countries: software architects, electronics designers, system engineers, chosen for the project in hand. It is how a small firm keeps electronics, robotics and AI together: one skill at a time, picked for the project.
This group of people has digitalised sales processes, automated factories and designed wearable solutions for vital-signs monitoring in healthcare and sport — most of it before the name on the door existed, and from inside those companies rather than as suppliers. It all sits on our DigiSense® framework, and that is what we built Podz.AI on: the personal AI workstation that brings artificial intelligence to the computers of people who work with confidential data.
The wearable work went into two peer-reviewed studies in “Sensors”. The 2024 one, written with the Italian National Research Council and four universities, followed nine hundred emergency workers for twelve months.
We work side by side with entrepreneurs and professionals: first we understand the process, then we choose the technology. Never the other way around.
Based in San Marino
Via Marino Moretti 23, 47899 Serravalle (RSM)
In this trade since 1997
Innovation, software and industrial automation
Proprietary framework
DigiSense®, the base of every technology we build
European software
Designed and developed entirely in Europe
Published research
Two studies in “Sensors”, 2023 and 2024
Accredited Innovation Manager
Gian Angelo Geminiani, on the Italian ministry register since 2020
Certified AI training
European EITCA/AI programme, 2025 · NVIDIA DLI, 2019
Where we come from
The trade starts in 1997.
From factory processes to wearable devices, from algorithms to university research. In chronological order.
1997 – 2002
Silcea Group, then SkyLab
Head of information systems at Silcea Group, tasked with putting the new ERP into production — the system that holds production, stock and accounts together. Then the founding of SkyLab, which assembled workstations for architecture practices, with graphics cards chosen to run CAD. Sizing a machine around the load it has to carry is the same trade as today, when the question is how much GPU memory it takes to keep a model in-house.
2002 – 2020
Eighteen years at Gruppo Fontanot
From 2002 project manager and software architect at Albini & Fontanot Informatica, then CIO, then head of development and digital innovation manager for the group. Production processes, logistics, sales network management, product configurators. Among the things designed, machine learning in production before it was called AI. The first dates from the early 2000s and watched over a mobile-racking warehouse — the kind that runs on rails and opens one aisle at a time: before the aisle closed again, a camera checked it was clear, recognising people and obstructions in shed light that shifts from morning to evening. Later, machine learning applied to quality control.
2007 – 2008
Research at Food Science, University of Bologna
A traceability platform for fresh-cut fruit and vegetables: RFID smart labels read on the products, and a modular algorithm that walks back up the supply chain from any document, showing each party — consumer, control authority, producer — only what concerns them.
2015 – 2024
Botika, applied artificial intelligence
Geminiani co-founded and led Botika — which started as FunnyGain — a company that brings algorithms into industrial processes. In 2019 Confindustria Romagna picked it as the first San Marino technology partner in its SmartTech team.
2020 – 2024
Chief technology officer at AccYouRate Group
Almost five years as CTO of a company that designs, patents and manufactures wearable devices for vital-signs monitoring. It is one of the affiliations on the study published in “Sensors”.
from 2022
G&G Technologies
The company was founded in 2022 and brings that expertise onto DigiSense®, the registered framework under every implementation with AI, sensors or robots, and onto Podz.AI.
Contact
Let's talk about your next project.
Write to us: the person who does the designing answers, within one working day.
For projects, products and Podz.AI enquiries. We reply within one working day.