Case Study: Axpo Group achieves 30% greater productivity and operational efficiency with Databricks

Turning internal knowledge into sustainable energy outcomes

Axpo Group, a major player in the Swiss energy sector with 7,000+ employees across 40+ markets, needed to modernize how internal knowledge and data were accessed to support engineering and AI innovation. Legacy data silos, fragmented tools, and manual keyword searches made it hard for employees to quickly find technical standards, specifications, and best practices, while also slowing plans for reusable APIs and ML-based vendor data classification.

With the Databricks Data Intelligence Platform, Axpo Group built GenAI and ML solutions to create a shared knowledge layer, modernize API architecture, and automate tasks like vendor and spending data labeling and document processing. Databricks helped Axpo boost the productivity of key power users by 30%, improve collaboration across data and ML teams, and advance a more scalable, governed approach to energy operations.

Axpo Group

Anaig Maréchal

Lead AI Engineering