Anomalo is a data quality monitoring platform that uses machine learning to flag anomalies and broken pipelines across enterprise data warehouses and lakehouses. Elliot Shmukler and Jeremy Stanley, who worked together on data quality problems at Instacart, founded the company in 2018, initially under the name Data Gravity before relaunching as Anomalo in 2021.
Rather than relying on teams to write and maintain manual validation rules, Anomalo's models learn what normal data looks like and surface 'unknown unknown' issues — the anomalies nobody thought to write a rule for — along with root-cause context for investigating them. The platform connects to warehouses like Snowflake, Databricks, and BigQuery, and covers structured and unstructured data alike.
Anomalo is built for data engineering and analytics teams at mid-size to large companies managing pipelines feeding business-critical dashboards or models. Customers include BuzzFeed, Discover Financial Services, and Substack; the company has raised over $72 million including a round backed by Databricks Ventures, and pricing is not publicly listed.
