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AI Challenge – Companies selected in previous editions




BM Group Spa is an industrial group aggregating more than 20 companies with an expertise in industrial automation, robotics, software and energy production. With Polytec, based in Borgo Chiese (TN), the Group provides integrated robotic systems, automation, cloud computing and IoT for the optimization and the management of production processes.

BM Group’s challenge is to monitor and analyze the operating data of the turbine of a hydroelectric plant they have produced, in order to develop a predictive maintenance model on the plant with the integration of weather data.


Casearia Monti Trentini Spa is run by the Finco family, with a dairy tradition starting in 1925. They produce their cheese with artisan recipes in Grigno (TN) and Enego (VI) using the most innovative technologies that are beneficial for the quality of its products and that support the production process.

The challenge of Casearia Monti Trentini consists of the analysis of the data collected by sensors for monitoring the operation of endothermic engines for the production of electricity and screw compressors for the production of cooling energy. The goal is to develop a predictive maintenance model for the plants, taking advantage of the integration of data coming from advanced sensors made available by the partner Asystom.


ETC Sustainable Solutions srl was founded in 2014 and is based in Trento, Bologna and Bari. With the “OSCAR” services, the company supports the optimization of wastewater purification processes through software and digital solutions, with a focus on environmental sustainability. In 2017 a unit regarding service and monitoring was created, and it deals with the assistance in the management of wastewater treatment plants through the analysis of operating data and process skills. From 2020, with the founding of the startup D3 srl, the company applies machine learning techniques to the development of decision support systems.

The ETC challenge envisages the creation of innovative solutions for a more efficient primary and waste water purification plants performance monitoring, starting with already existing data and dimensions and applying Data Science techniques.


ITG Tecnologie srl

is a startup founded in 2019, based in Polo Meccatronica (Rovereto). The company designs and produces permanent magnet and reluctance motors for lifts and hoists. It is the exclusive licensee and owner of 2 patented solutions for traction units and for predictive maintenance IoT systems.

ITG’s Challenge is about monitoring some critical parameters for the characterization of the operating performance of motors for elevator use, involving the integration of advanced sensors made available by the Asystom partner. The business goal is to develop and integrate predictive maintenance solutions into the company’s products.



was born in 2013 within Progetto Manifattura (Rovereto). Specialized in monitoring systems, NIRIS manages the safety and control systems of more than 1400 water treatment plants (wastewater and drinking) in the Garda area and in Trentino. The company’s business and research areas include smart farming, industrial automation, control of critical infrastructures and industrial IoT products.

The NIRIS challenge aims to detect correlations between available historical data and the data on the anthropic and meteorological impact of water treatment plants, in order to implement predictive maintenance processes capable of increasing their resilience


Novotic srl

is based in Rovereto (TN), and designs, develops and programs robotic systems for the automation of industrial manufacturing processes, combining data analysis, robotics, cloud, traceability and logistics.

The Novotic challenge aims to monitor the assembly process and analyze the extracted data in order to introduce targeted optimization and control interventions for reducing production and quality control costs.


SALF Laboratorio Farmacologico Spa,

based in Cenate Sotto (BG), has been studying the healing properties of aqueous solutions since 1921. It operates in the field of injectable preparations by developing and producing sterile solutions and medical devices for human and veterinary use.

The SALF challenge involves developing a model for the production planning optimization and the relative assignment of personnel to the production lines.


SET Distribuzione SpA,

part of the Dolomiti Energia Group, carries out electricity distribution activities for more than 330.00 users in over 160 municipalities in the provincial territory in order to guarantee the continuity and quality of the electricity service. The company monitors the status of the network in real time, measures and detects consumption and performs activities requested by customers on the meter with innovative remote control systems. It is also engaged in the construction of new networks to make energy widely accessible and to connect the new production facilities.

SET Distribuzione participates with a challenge that involves the analysis of historical data of energy withdrawals by end users and the study of their correlation with other social or territorial phenomena to identify possible trends for the future, and develop predictive models.


SUANFARMA Italia S.p.A.,

based in Rovereto (TN), was founded in the 60s from the initiative of a group of private entrepreneurs, establishing itself as an international reference point in the development, production and distribution of active pharmaceutical ingredients for human and animal health.

The SUANFARMA challenge aims to develop a predictive model of the yield of an active ingredient production process in order to optimize its efficiency.

Other Challenges

AI Challenge – Companies selected in previous editions

UX Challenge

The challenge to innovate and redesign the user experience of digital products and services.

AI Challenge – Companies selected in previous editions

PROTO Challenge

The challenge to solve industrial problems related to the mechanical design of manufacturing companies.