Datahub Secures $35 Million Led by Bessemer

<p><strong><span class&equals;"legendSpanClass"><span class&equals;"xn-location">PALO ALTO<&sol;span><&sol;span><&sol;strong> &&num;8212&semi; DataHub&comma; by Acryl Data&comma; a leading open source metadata platform&comma; has raised <span class&equals;"xn-money">&dollar;35 million<&sol;span> in Series B funding led by Bessemer Venture Partners&period; This latest round brings the company&&num;8217&semi;s total funding to <span class&equals;"xn-money">&dollar;65 million<&sol;span>&comma; enabling accelerated development of its context management platform that provides discovery&comma; observability&comma; and control across data&comma; AI models&comma; and AI agents&period;<&sol;p>&NewLine;<p>As part of the investment&comma; <span class&equals;"xn-person">Lauri Moore<&sol;span> of Bessemer Venture Partners will join DataHub&&num;8217&semi;s board of directors&period;<&sol;p>&NewLine;<p>&&num;8220&semi;Rapid adoption of AI in the enterprise is revealing the significance of comprehensive visibility&comma; reliability&comma; and trust across their data and AI ecosystem—far beyond traditional data cataloging to a machine-scale world where AI agents become the power users of data&comma;&&num;8221&semi; said <span class&equals;"xn-person">Swaroop Jagadish<&sol;span>&comma; CEO and co-founder of DataHub&period; &&num;8220&semi;DataHub is uniquely positioned to lead this new category of AI &amp&semi; data context management with our architecture built for extreme scale&comma; performance&comma; and real-time machine-scale automations&period;&&num;8221&semi;<&sol;p>&NewLine;<p>Enterprises are facing critical challenges in accessing&comma; maintaining reliability&comma; and securing their data and AI supply chain&period; Today&&num;8217&semi;s organizations struggle with &&num;8220&semi;missing context&&num;8221&semi; that prevents both humans and machines from effectively working with data&period;<&sol;p>&NewLine;<ol type&equals;"1">&NewLine;<li>Data consumers can&&num;8217&semi;t easily find relevant datasets&period;<&sol;li>&NewLine;<li>Data engineers lack visibility to prevent disruptions when making changes&period;<&sol;li>&NewLine;<li>Governance teams struggle to track sensitive data access&period;<&sol;li>&NewLine;<&sol;ol>&NewLine;<p>For AI systems&comma; this context gap is even more critical–AI models need to know when new data is available for refreshing predictions&comma; which enterprise data is trustworthy&comma; and how to analyze schema changes automatically&period; DataHub addresses this fundamental challenge by providing a real-time metadata platform that brings order to data and AI chaos&comma; enabling machines to interact with an organization&&num;8217&semi;s data assets with complete context awareness&period;<&sol;p>&NewLine;<p>&&num;8220&semi;With the shift toward business-critical AI and customer-facing predictive applications&comma; enterprises need robust metadata management to ensure AI systems can reliably work with data&comma;&&num;8221&semi; said Shirshanka Das&comma; CTO and co-founder of DataHub&period; &&num;8220&semi;DataHub provides the context that AI systems need to understand data lineage&comma; quality&comma; and semantics—enabling organizations to unlock the full potential of their AI investments&period;&&num;8221&semi;<&sol;p>&NewLine;<p>DataHub&&num;8217&semi;s open source offering is being used by more than 3&comma;000 organizations globally including Apple&comma; Chime&comma; Foursquare&comma; Netflix&comma; Optum&comma; Pinterest&comma; and Slack&period; The company has experienced 6x growth in selling the enterprise managed service&comma; DataHub Cloud&comma; over the last two years&period;<&sol;p>&NewLine;