Case Study: Envisso achieves unified, secure merchant risk intelligence with Databricks

Turning payments risk into a growth enabler

Envisso, a payments risk and insurance platform, was struggling with siloed data, limited lineage visibility, and manual processes that slowed its ability to deliver instant risk intelligence as it scaled globally. It needed a secure way to ingest and analyze large volumes of merchant, transaction, and dispute data while maintaining strong governance, and turned to Databricks Data Intelligence Platform to help.

With Databricks, Envisso built a unified data foundation using Unity Catalog, Lakeflow Jobs, Mosaic AI, Delta Lake, and Delta Sharing to centralize access, automate ingestion from 30+ payment providers, and support secure collaboration across teams and partners. The result was a replacement for Excel-based workflows with interactive notebooks and dashboards, faster experimentation with AI models, and more efficient merchant risk mitigation—all while keeping sensitive data protected under unified governance.