Company - SAT

Engineering safety you can trust

Who we are

SAT is an innovative SME headquartered in Turin, Italy.

Our multidisciplinary team spans sleep medicine & neurology, signal processing, embedded systems and AI, bringing generations of combined experience and a proven track record of transferring technology from concept to mass‑market products.

Intelligence from Vitals

SAT operates at the leading edge of intelligent vital‑data processing, interpreting physiological signals to predict and prevent critical health and safety events—monitoring fatigue, stress, blood‑alcohol concentration and other indicators in real time. We build predictive safety that works in the field—reliable, explainable and easy to integrate.

Vision & Mission

Vision

SAT shifts the paradigm from risk identification to risk prediction by means of intelligence applied to human sensing.

Mission

To monitor, track, and predict human fatigue, human ability to perform safely, and impairment in real-time using knowledge AI-driven, medically validated tools & methodologies that empower industries to act before accidents happen.

Latest update

Recent publications

“Real-Time Driving Risk Assessment Using LSTM-attention and XGBoost with Physiological and Driving Behavior Data”

Wang, Yecan; Guagnano, Michele; Taniguchi, Hiroki; Nagatani, Nozomi; Ono, Hiroshi; Shinkawa, Satoru; Miyamoto, Sumie; Fujiu, Katsuhito; Takai, Madoka; Violante, Massimo; Mitsuzawa, Shigenobu. - 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC),Vienna (Austria)

“Short-term future prediction of driving risk using XGBoost with Personal, Physiological, Biological, and Driving Behavior Data”

Guagnano, Michele; Wang, Yecan; Taniguchi, Hiroki; Nagatani, Nozomi; Ono, Hiroshi; Shinkawa, Satoru; Miyamoto, Sumie; Fujiu, Katsuhito; Takai, Madoka; Violante, Massimo; Mitsuzawa, Shigenobu. - 18th International Congress on Image and Signal Processing, BioMedical Engineering, and Informatics (CISP-BMEI 2025), Qingdao (China)

“On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input”

Guagnano, Michele; Groppo, Sara; Pugliese, Luigi; Violante, Massimo. - SENSORS. - ISSN 1424-8220. - 25:7(2025).

“Utilizing commercial off-the-shelf smartwatches in a real-time drowsiness detection system”

Pugliese, L.; Violante, M.; Groppo, R.; Noce, S. - In: SLEEP MEDICINE. - ISSN 1878-5506. - 115:1(2024), pp. 80-80. 17th World Sleep Congress 2023, Rio De Janeiro (Brasil)

“Exploring the Feasibility of Sleep Quality Evaluation with a Reduced Parameter Set”

Guagnano, Michele; Groppo, Sara; Pugliese, Luigi; Violante, Massimo. - (2023), pp. 904-909. IEEE Smart World Congress 2023, Portsmouth (UK)

“Rule-based Sleep-Apnea detection algorithm”

Pugliese, Luigi; Guagnano, Michele; Groppo, Sara; Groppo, Riccardo; Violante, Massimo. - (2023), pp. 251-255. 9th International Workshop on Advances in Sensors and Interfaces (IWASI), 2023 Monopoli (Italy)

“A novel algorithm for detecting the drowsiness onset in real-time”

Pugliese, L.; Violante, M.; Groppo, S.- IEEE ACCESS. - ISSN 2169-3536. 2022

“Innovative sleep prediction and fatigue monitoring through smart vital sensing”

R. Groppo, InCabin Europe 2024, Barcelona

“Innovative InCabin perception and sleep prediction through smart vital sensing”

R. Groppo, AutoSens 2024, Hefei (China)

“Approaching sleep and fatigue analysis from a different angle with RADAR systems”

R. Groppo, InCabin 2025, Detroit (US)