Atlan aggregates metadata from the modern data stack—Snowflake, BigQuery, dbt, Databricks, Looker, Tableau—into a single governance and discovery layer. The company is investing heavily in AI agents and automation (app framework, workflow orchestration, support scaling) while hiring senior engineers across product and platform roles, suggesting a shift from metadata plumbing toward AI-driven data intelligence. Internal pain points around accuracy in AI interactions and reducing engineering dependency hint at a product roadmap focused on autonomous data context.
Notable leadership hires: Creative Director
Atlan is an active metadata platform for data teams at enterprise companies, founded in 2019 and headquartered in San Francisco. The product aggregates metadata from sources including Snowflake, BigQuery, dbt, Databricks, Looker, and Tableau to provide unified data discovery, cataloging, lineage, and governance. It pushes metadata context back into BI tools and workflows so analysts see upstream lineage and definitions without leaving their interface. The company operates a global sales model with presence in the United States and India, and recently closed a $105M Series C to fund platform expansion and support scaling.
Atlan ingests metadata from Snowflake, BigQuery, dbt, Databricks, Looker, Tableau, Postgres, Fivetran, and others. It also pushes metadata back into BI tools to surface lineage and definitions at query time.
Atlan is headquartered in San Francisco. The company employs 201–500 people and actively hires in the United States and India.
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