Home IoT, remote monitoring and applied software
Adeo designs platforms and applications that collect field data, control distributed assets and turn technical signals into operational decisions.
Field data, dashboards and alerts
Sensors, telemetry, thresholds and reports come together in clear tools for fleets, machinery and distributed systems.
AI, 3D and operational applications
Software, analysis and visual interfaces help technical teams and final users read complex data and act more precisely.
At a glance
Adeo designs and builds custom systems, from data collected in the field to the applications people use every day, with its own platforms and research projects carried out with universities and industrial partners.
Adeo connects objects, machinery, devices and content through readable data.
Proprietary platforms and custom software, combined as building blocks in each project.
Research and development projects with universities and industrial partners, co-funded by the EU, ministries and regions.
Platforms in production for years, such as RDM since 2012 and KOMMODO since 2021, told in the case studies.
What we build
We build systems that collect and organise data, AI-based predictive maintenance, desktop, web and mobile applications, and immersive cultural and educational applications.
Telemetry, thresholds, events and dashboards for fleets, plants and remote systems.
Technical-signal analysis to anticipate critical conditions, reduce uncertainty and support targeted interventions.
Web apps, mobile apps, desktop apps and integrations built around the client's real domain.
VR, AR, 3D and interactive paths for explaining environments, processes and complex content.
Featured cases
Here you can find our current and past projects documented.
RDM (Remote Device Management) is the platform Adeo has used since 2012 to collect, process and present field data from vehicles, machinery, energy systems and sensors in industrial and research projects.
Open case study
MOSES case study: a residential microgrid with photovoltaics, storage, programmable loads and an interpretable EMS for real-time energy-flow management.
Open case study
KOMMODO is the commodity trading and risk management (CTRM) system that Adeo designed and built for an international physical oil trading and shipping group. Since 2021 it has handled physical cargoes, hedges, valuations and reports every day.
Open case studyPlatforms
The platforms and building blocks Adeo combines in its projects, and the fields where it applies them.
A foundation for telemetry, asset status, alerts, history and operational control.
Open technologyComponent wear estimation, anomalies and explainable AI, built into the platforms as alarms.
Open technologyConnectors and architectures that let new applications coexist with active processes.
Open technologyFunded projects
Adeo takes part in research and development projects as lead partner or technology partner, together with universities and companies.
SAMANTA developed an IoT predictive-maintenance platform for vehicles: on-board units with OBD-II diagnostics, sensors and a thermal camera send data to a web platform that stores it, shows it in real time and flags component wear before a failure.
Open project
SIGMAPro brings Industry 4.0 IoT into maintenance: it collects data from industrial equipment, identifies the type of fault with big-data analysis, recognises the equipment and the parts of its motor through video analysis, guides the intervention with augmented-reality content, lets technicians simulate maintenance in virtual reality and captures the best practices of the most experienced maintainers.
Open project
TrackTango develops and validates a Structural Health Monitoring platform for critical infrastructure, heritage assets and industrial structures. The platform acquires and processes sensor data in near real time, with latency under 2 seconds, certifies them on blockchain to guarantee immutability and traceability, and analyses them with predictive, explainable AI models that anticipate structural issues and make the reason for each alarm readable. The expected result is an integrated system, from the sensors to the software platform, validated through operational trials. Adeo is responsible for the research on artificial intelligence algorithms and data processing, the operational trials and the release of the platform.
Open project
EV4ER develops an infrastructure for bidirectional electric-vehicle charging (V2G, V2B, V2H): vehicles do not only draw energy from the grid, they can also return it when needed, helping the grid handle demand peaks and the variability of renewables. The goals are to reduce grid costs through vehicle flexibility, increase household self-consumption of solar energy, and reach charging-infrastructure prototypes compliant with ISO 15118-20, tested in an operational environment. Adeo develops the user application, the control-hardware management software and the monitoring data platform.
Open project
EMOTIVES aims to build a system that supports active control of driving styles and analyses their impact on road safety and environmental pollution. Adeo leads the partnership with Key To Business, IN-TIME and the University of Rome Tor Vergata.
Open projectResearch and partnerships
In research projects Adeo works with universities and industrial partners. Each project leaves components and skills that serve the next ones.
Sector, users, assets, constraints, data sources and technical goals.
Architectures, interfaces, data models and functional tests on realistic scenarios.
Tests on real data, vehicles or plants, together with the project partners.
Components, platforms and content that can support future projects.
