AI reduced tender processing from 1 month to 10 minutes, enabling scalable responses across teams. It improved accuracy, cut manual effort, and boosted win rates—allowing the organization to answer more tenders and accelerate time-to-market.

An energy trading company improved decision-making and gained a competitive edge by accurately predicting weather forecast uncertainty. The AI model reduced over/underestimation risks, enabled faster data-driven actions, and enhanced collaboration across teams.

A leading energy provider accelerated content creation, improved brand consistency, and empowered communication teams with AI-driven support. Built on scalable Azure architecture, the solution enabled ongoing innovation in corporate communication.

Austria’s fourth-largest energy provider improved sustainability and operational planning by predicting energy demand in 15-minute intervals up to a month in advance—enabling more efficient, data-driven energy management and reduced waste.

The AI-powered pilot project used drone-captured images to detect and assess the corrosion of gas pipelines. The solution enabled faster and more accurate deterioration analysis, improving pipeline maintenance and safety. This proof-of-concept demonstrated the potential of AI in infrastructure monitoring.