Monte Carlo

Monte Carlo provides a data observability platform designed to help data teams detect and prevent data reliability issues before they cascade downstream. The company's Data Observability Platform monitors data freshness, volume, schema, quality and lineage in real time, and integrates end-to-end across modern data stacks - from cloud warehouses and lakes to ETL and BI tools. The company coined the term "data observability" and focuses its work on eliminating "data downtime": missing, inaccurate or unreliable data that undermines business decision-making and the deployment of trustworthy AI.

Technical work at Monte Carlo spans data observability, data quality monitoring, data lineage, data engineering and real-time data monitoring, with an applied focus on AI and data reliability. The platform is used by enterprise data-driven organisations including Fox, Roche, Honeywell and Nasdaq, across verticals such as media and entertainment, healthcare and pharmaceuticals, industrial and manufacturing, and financial services.

The company describes its team as engineers, data practitioners and problem-solvers, with stated operating principles of shipping fast, learning constantly and prioritising customer impact. Its mission is oriented toward accelerating the adoption of reliable data and AI.