Case Study: Lev accelerates AI-powered data pipelines with Matia

Lev accelerates AI-powered pipelines with Matia for commercial real estate OS platform

Lev, a commercial real estate tech company, needed to accelerate its data infrastructure to support AI-driven recommendations. Their legacy ETL platform had unpredictable costs, slow syncs from Databricks, and required manual management of reverse ETL workflows, which tied up engineering time and hindered their ability to deploy AI predictions in real time.

Matia provided a unified dataops platform to automate and orchestrate Lev's AI pipelines from ingestion to activation. The solution, which included Matia ETL, Reverse ETL, and Observability, integrated with Databricks and dbt. This resulted in syncs that were 5x faster, a 80% decrease in sync times, lower infrastructure costs, and the reliable, real-time deployment of AI predictions into customer workflows.

Lev

Alberto Sheinfeld

Chief Technology Officer