Monte Carlo

Monte Carlo is a data and AI observability company that helps organizations monitor the reliability of the data and machine-learning pipelines feeding their analytics and production AI systems. It was founded in 2019 by Barr Moses, who serves as CEO, and Lior Gavish, its CTO, and is headquartered in San Francisco. The company is credited with defining the "data observability" category, applying practices from software application monitoring to data pipelines.

Its platform automatically detects data quality problems such as broken pipelines, schema changes, and anomalous values, then helps data teams trace incidents to their root cause across warehouses, lakes, and BI tools. Monte Carlo integrates with systems including Snowflake, Databricks, BigQuery, Airflow, and dbt, and has extended its coverage toward observability for AI agents and the data that powers them. It has been ranked the top data observability solution by review site G2 across multiple quarters.

Monte Carlo has raised roughly $236 million across four rounds from investors including Accel, GGV Capital, Redpoint Ventures, ICONIQ Growth, Salesforce Ventures, and GIC. Its $135 million Series D in May 2022, led by IVP, valued the company at $1.6 billion and made it the first data observability firm to reach unicorn status, following a Series C in August 2021. The company employs around 500 people.