Slide

We support multi-utilities by offering innovative solutions with high added value, to help them tackle the growing challenges they are faced with. We develop AI algorithms to optimize both physical and transactional processes starting from the data and specific know-how of our interlocutors.

Optimized energy management

We improve the management of systems and emergency response teams, by forecasting leaks on the gas networks.

Reduction of the environmental impact

We optimize water purification systems to reduce the environmental impact of systems.

Energy trading

We provide support systems for all phases of electricity trading.

Process automation

We robotize back-office procedures to make processes and systems more efficient.

contact
an expert

Case studies

Robotization of debt collection in multi-utilities

– Process elapsed time: from 7 days to 25 minutes

+ planned actions: from 50 manual to 270 automated ones

+ 100% of the historical data relating to the flow of cases

SAP automation for carrying out back-office and finance activities in multi-utilities

Re-internalization of processes that were outsourced due to lack of workforce

Databases always updated even on national pre-holiday and holiday days

Logging systems for process tracking

Forecasting for
participation in the
electricity markets

Predicting possible network imbalances allows for the optimization of risk hedging strategies. Our predictive algorithms are updated daily to follow the trends of this highly variable market.

-5% reduction of false positives

+15% increase in accuracy of
predictive models

Optimized control of purification systems

Management of the waste water purification system is regulated in advance to minimize the level of pollutants in outlet, while reducing energy consumption. The predictive logics are used to anticipate the variations of the system, reducing the environmental risks.

–8.1% of total nitrogen

+16% energy savings

Optimized planning for the maintenance teams of gas networks

We implement predictive logics on the maintenance of distributed networks to anticipate faults and to direct controls to the highest risk areas. This system helps increase verification capacity, maximizing coverage and improving service.

+ 30% accuracy of Fault Prediction

– 30% losses reported by third parties

+ 20% of km monitored with the same teams

Monitoring of IT processes in production

Complex and widespread process pipelines are explained, analyzed and monitored continuously. Automatic reporting facilitates system monitoring, simplifying the maintenance process. Automatic alerts allow timely interventions.

+ability to promptly intervene

+overview of complex pipelines

Aggregate and detailed reporting on individual processes

Predictive maintenance
of gas networks

We implement predictive logics on the maintenance of distributed networks to anticipate breakdowns and to direct controls to the highest risk areas. This system helps increase verification capacity, maximizing coverage and improving service.

+ 30% accuracy of Fault Prediction

– 30% losses reported by third parties

+ 20% of km monitored with the same teams