The Viridis platform of applications is a complete solution for energy & utilities management. It is aimed at industrial consumers, where each sites spends millions of dollars in energy and utilities, as well as distributed consumers (such as telecommunications, retail, sanitation, etc.), where operations are scattered in thousands of small sites.

With over 300 unique, advanced features, the software comprises sophisticated engineering tools and artificial intelligence technology to allow much greater control over processes, including real-time analyses. The software also includes advanced management models, integrating the widest range of perspectives on energy consumption, from individual consumers on the shop floor to enterprise-wide overviews.

Main packages include:

• Viridis Platform: The backbone of the Viridis product family, offering the state of the art in IoT, big data, analytics, cloud computing, DevOps, computational intelligence, and mobile technologies for digital transformation and Industry 4.0 applications.
• Viridis Tracking: Monitors consumption, generation, emissions and energy & utilities conversions through all of the company’s operations, manages distribution networks, and executes automatic correlations of equipment energy performance based on occurred events and operational characteristics.
• Viridis Planning: Encompasses all corporate activities in energy & utilities management, including supply contracts management, direct and indirect costs appropriation, future consumption forecasting, energy planning, simulation of various consumption and supply scenarios, and budgeting management.
• Viridis Efficiency: Promotes energy and operational efficiency initiatives in order to identify useless energy, waste, operational best practices, savings quantification, avoided costs, and management of the efficiency continuous improvement cycle management, to directly resulting in on reducing energy & utilities consumption.
• Viridis Intelligence: Provides advanced computational intelligence models to optimize supply and cogeneration strategies, model and optimize large processes, as well as execute probabilistic simulations and sensitivity analyses.