Case Study: Reonomy achieves 3x faster ML lifecycle with Databricks

Modernizing real estate with Data and ML

Reonomy is a commercial real estate data platform that connects fragmented property, company and people records to surface insights and new opportunities for customers. They faced the challenge of unifying numerous disparate, high‑volume datasets and embedding machine learning directly into their data pipeline — a workflow that required tight collaboration between data engineering, data science and product teams.

By adopting Databricks as a unified data and AI platform, Reonomy centralized ingestion, ETL, model development and deployment in a collaborative environment, enabling faster iterations and simpler infrastructure management. The result: a 3x faster ML lifecycle and the ability to move models from concept to production in under two months (versus roughly six months previously), unlocking new product opportunities and improved customer engagement and retention.

Reonomy

Maureen Teyssier

Chief Data Scientist