EngCoSys
EngCoSys Srl was founded in 2017 as a spin-off of the University of Palermo, specializing in the design and implementation of technologies for marine and underwater applications, innovative marine energy sources, and automation solutions for industrial and home automation sectors. The company leverages its expertise in industrial plant engineering (HVAC, mechanical, electrical), renewable energy sources, environmental monitoring, robotics, and drones. EngCoSys focuses on automation, robotics, drones, measurement and monitoring instrumentation, and marine energy systems. Their future objective is to become a leader in sustainable energy innovation through Artificial Intelligence, aiming to develop AI-based systems for optimizing renewable energy production and consumption, implement autonomous drones and robots for energy plant monitoring and maintenance, create advanced digital solutions with AI for intelligent energy management and digital twins for predictive simulations, foster international collaborations, and establish an excellence center for AI in sustainable energy.
EngCoSys
EngCoSys Srl was founded in 2017 as a spin-off of the University of Palermo, specializing in the design and implementation of technologies for marine and underwater applications, innovative marine energy sources, and automation solutions for industrial and home automation sectors. The company leverages its expertise in industrial plant engineering (HVAC, mechanical, electrical), renewable energy sources, environmental monitoring, robotics, and drones. EngCoSys focuses on automation, robotics, drones, measurement and monitoring instrumentation, and marine energy systems. Their future objective is to become a leader in sustainable energy innovation through Artificial Intelligence, aiming to develop AI-based systems for optimizing renewable energy production and consumption, implement autonomous drones and robots for energy plant monitoring and maintenance, create advanced digital solutions with AI for intelligent energy management and digital twins for predictive simulations, foster international collaborations, and establish an excellence center for AI in sustainable energy.