monom just took a big step in AI-powered predictive maintenance. The company, part of Grupo Álava, launched a new platform for energy companies. Its goal is simple: catch failures before they happen.

monom’s platform isn’t just an algorithm. It’s a full architecture. It brings together software, hardware and data in one system. As a result, every critical asset gets connected and digitized.

Because of this, every data point becomes useful information. Nothing gets lost. It gets prioritized. And it turns into real decisions for the maintenance team.

Why this matters for the energy sector

Energy companies run asset-intensive operations. Unplanned downtime is costly. So monitoring and predicting asset health makes a real difference.

With this platform, companies can get ahead of problems. They can also manage resources more efficiently. The result: fewer disruptions and more operational continuity.

Technology backed by service

Here’s what sets monom apart in the Spanish market. The technology doesn’t stand alone. It comes with a full 360-degree service offering.

This service blends IT support with industrial engineering. What’s more, monom’s specialists work directly alongside client teams. That way, prediction doesn’t stop at data — it turns into action.

José Fernández-Díez, CEO of monom and executive vice president of Grupo Álava, puts it this way: specialized AI is a key opportunity for energy companies to compete using cutting-edge technology. This builds on decades of the group’s experience in industrial predictive maintenance.

This piece builds on other outlets’ coverage of monom’s platform launch by zooming in on the combined technology-plus-360-service model behind its approach for the energy sector.

Sources:

Industria Química – https://www.industriaquimica.es/noticias/20251027/monom-lleva-ia-al-mantenimiento-predictivo-sector-energia

Energética 21 – https://energetica21.com/noticia/monom-aplica-inteligencia-artificial-mantenimiento-predictivo-sector-energetico/