Indian-Origin Startup Atlan Creates Trust Layer for Enterprise AI

The Bengaluru and New York-based startup has developed a data catalog and governance platform that helps organizations manage, document, and trust their data assets used in AI models. The platform, called Atlan, acts as a central hub for data teams to collaborate on data quality, lineage, and policies.

Atlan's product addresses the growing need for enterprises to ensure their AI systems are built on reliable and well-documented data. The platform integrates with existing data tools like Snowflake, dbt, and Tableau, providing a unified view of data assets and their usage across the organization.

The company recently raised $50 million in a Series C funding round led by GIC and Meritech Capital, bringing its total funding to over $100 million. Atlan plans to use the funds to expand its engineering team and accelerate product development, particularly around AI governance features.

Atlan's customers include major enterprises in finance, healthcare, and technology, who use the platform to comply with data regulations and improve the accuracy of their AI models. The startup has seen a 3x growth in revenue over the past year, driven by increased demand for trustworthy AI infrastructure.