Case Study: Ophelos improves debt collection efficiency with Databricks

Modernizing debt collection with automation and compassion

Ophelos is a UK debt-collection startup on a mission to make debt resolution more empathetic, data-driven, and fair. As the company scaled, it struggled with a fragmented data stack that made it hard to orchestrate pipelines, collaborate, test ML models, and deploy to production efficiently. To support its automation and personalized customer journey, Ophelos turned to Databricks and its Data Intelligence Platform.

Using Databricks, Ophelos built scalable data pipelines and a centralized lakehouse foundation for ML-powered debt-resolution workflows. Databricks helped the company speed up development and deployment, reduce infrastructure complexity, and give clients self-serve insights and personalized reporting. The result was faster innovation, improved customer outcomes, lower costs for clients, and a more transparent decision-making process.

Ophelos

Jacob Goss

Data Lead