AI solutions applied to the energy sector: personalisation, efficiency, and better customer experience, powered by data.
Virtual Power Plant (VPP)
Implementation of a VPP to coordinate and optimise distributed energy resources, generation, storage, and flexible consumption, so they deliver real value to the electricity system, companies, and end customers.
Time savings
Early detection of opportunities
Anomaly detection in infrastructure
Detecting anomalies in infrastructure, such as early identification of rust on power towers, as well as detecting overheating and incipient failures in substations through thermography, is key to evolving from reactive to predictive maintenance. This optimises costs and ensures system reliability through data-driven decisions supported by AI.
Reduction in visual inspection
Improvement in operational safety
Monitoring self-consumption installations
The solution analyses power curves managed in real time from an EMS, with adaptable granularity from one second to 15 minutes per data point. These data are analysed to provide different functionalities to the user and/or their energy service provider.
Time savings
Early detection of opportunities
Pre-sales and after-sales agent 24/7
Automatically extract data from any energy bill so that a pre-sales agent can instantly generate personalised offers, and rely on a 24/7 after-sales agent to resolve your customers’ queries about their bills, the contracted service, new offers, and any other need, improving conversion and customer experience.
Higher customer satisfaction
Higher customer conversion rate
Train your sales pitch
A solution to empower your sales force in marketing any energy product (solar panels, EV chargers, etc.), both in door-to-door visits to end customers and in itinerant sales points in public spaces, improving commercial effectiveness and conversion rates.
Reduction in traditional sales training investment
Improvement in adherence to scripts and key messages