Monitoring

Monitoring and innovation for scientific research

Data reliability and repeatability are the foundation of every discovery in scientific and academic research.

The challenge lies in the fact that experimental parameters are complex to accurately monitor, making manual errors and inefficiency rather likely. This is why universities and research centers primarily need lab digitalization and the introduction of smart technologies that automate data collection and ensure the reliability, repeatability and quality of results.

Our solution to this challenge is the CMD system for scientific and academic settings. Through integrated advanced sensor units, machine learning algorithms, and real-time analysis, our platform makes it possible to track the evolution of complex events with unprecedented precision.

Thanks to our flexible and scalable system, we support universities and research centers in their transition towards next-gen research environments. Connected, smart, and automated: these new environments significantly increase efficiency and precision in the researchers’ work. A project we developed for several universities in the United States demonstrates the benefits of this approach: in this case, artificial intelligence was used to revolutionize the monitoring of test animals.