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How Atlan is Tackling Data Chaos and AI Integration in Enterprises

blankAtlan, a San Francisco-based startup, has recently raised $105 million in a series C round of funding, bringing its valuation to over $750 million. The funding was led by Singapore’s sovereign wealth fund GIC and Meritech Capital, with participation from existing investors Salesforce Ventures and PeakXV Partners. Atlan aims to bring order to the “data chaos” that enterprises face by developing a product that acts as a unified control plane for disparate data infrastructure.

The company’s platform, founded in 2020, stitches together different data sources and provides relevant context and collaboration options. It consists of a base layer called the “Metadata Lakehouse” which collects metadata from various data tools and systems. On top of this layer, there is a trust layer that enables access management, analytics, classification, and tagging. Atlan also offers personalized modules for data discovery, business metrics glossary, data products and contracts, and no-code data lineage. This helps data and business teams understand and collaborate on the information flowing across the enterprise.

Despite being relatively new in the data infrastructure space, Atlan has experienced significant growth in recent years. Its revenues have grown more than seven times in the last two years, with major customers such as Cisco, Autodesk, Unilever, Ralph Lauren, FOX, News Corp, Nasdaq, NextGen, Plaid, and HubSpot. The company’s platform claims to cut the time spent by data practitioners on finding and understanding data by up to 95%, surpassing competitors like Informatica, Collibra, and Alation.

Atlan plans to use the funding to further develop its product and expand its operations to meet the growing demand for data organization in the age of AI. The company aims to support key product developments and integrations while also attracting more enterprises looking to bring order to their data chaos.

Overall, Atlan’s approach to data handling addresses the main challenge faced by enterprises in implementing AI: the lack of AI-ready data enriched with business context, trust, and security. By providing a unified control plane for data and AI, Atlan enables companies to integrate trust and context into their digital fabric. The company’s success in the market and its ability to automate metadata collection sets it apart from competitors and positions it as a leader in the data infrastructure space.