At SCAP.ai, we focus our efforts on the development of innovative projects for industry 4.0. Our disruptive technology -based projects (AI and AR) are designed for achieving process optimization, cost reduction, increasing competitiveness, and making smarter companies for future markets.
Our first case is a global company in the Oil & Gas industry with a presence in more than 70 countries.
Its business mainly consists of several assets, including oil wells, oil rigs, refineries, pipelines, and gas stations.
Using this technological solution, they implement Machine Learning models for the expected behavior prediction of control valves within any downstream or upstream asset from its value chain.
First private company to build and operate gas pipelines in Mexico. It supplies natural gas to several regions of Mexico through more than 2,740 km of pipelines. Its natural gas transportation pipeline network of more than 91,500 km is virtually connected with the most important basins for the oil supply in North America.
Currently, the private company employ the predictive maintenance application in 250 compressor units.
In the energy industry, our third case is the largest energy company in Italy and the second largest worldwide.
It operates in 40 countries, provides its services to more than 61 million customers, employs 73,000 people, and its annual revenue amount to 85 billion euros. As a leading enterprise in the European and Latin American energy and oil markets. pioneer of “smart grids”, it was the world’s first utility company to replace traditional electromechanical meters with digital smart meters.
A significant improvement in smart grid reliability and operational efficiency has been attained through grid predictive maintenance and advanced energy fraud detection using its applications.