DataHub, by Acryl Data, has announced a $35 million Series B funding round, bringing its total funding to $65 million. The investment, led by Bessemer Venture Partners with participation from 8VC, Tru Arrow, SineWave, In-Q-Tel, and Zero Prime, will drive the expansion of DataHub’s metadata platform, which supports AI-driven data management. The platform addresses the growing need for real-time visibility, reliability, and trust in enterprise data and AI ecosystems.
DataHub secures $35 million in Series B funding led by Bessemer Venture Partners.
Total funding reaches $65 million to enhance AI and data context management.
Platform supports over 3,000 organizations, including Apple, Netflix, and Slack.
Event-driven architecture ensures real-time metadata for AI governance.
Funds will boost R&D, community growth, and enterprise customer success.
Rebranding to DataHub reflects its focus on AI-ready data systems.
The $35 million Series B funding will accelerate DataHub’s mission to provide a robust metadata platform for enterprise AI. With Lauri Moore of Bessemer Venture Partners joining the board, the company is poised to scale its operations and enhance its offerings. The investment will support research and development, focusing on AI governance and context management, while expanding go-to-market efforts to meet enterprise demand.
Enterprises face significant hurdles in managing data for AI applications, including discovering relevant datasets, maintaining reliability, and ensuring security. DataHub’s platform tackles these issues by offering real-time metadata management. "Rapid adoption of AI in the enterprise is revealing the significance of comprehensive visibility, reliability, and trust across their data and AI ecosystem," said Swaroop Jagadish, CEO and co-founder of DataHub. The platform’s ability to provide context awareness enables AI systems to refresh predictions and analyze schema changes effectively.
DataHub’s event-driven architecture sets it apart from legacy vendors, offering real-time visibility and scalability. "With the shift toward business-critical AI and customer-facing predictive applications, enterprises need robust metadata management," said Shirshanka Das, CTO and co-founder of DataHub. The platform supports AI systems by ensuring data lineage, quality, and semantics, enabling organizations to maximize their AI investments.
Used by over 3,000 organizations, including industry leaders like Apple, Netflix, and Slack, DataHub has seen 6x growth in its enterprise managed service, DataHub Cloud, over the past two years. The open source community has grown 50x to over 13,000 members, reflecting the platform’s widespread adoption. The funding will further strengthen this community and enhance enterprise-grade customer success capabilities.
The rebranding to DataHub underscores its focus on powering AI-ready data systems at scale. The platform’s schema-first, event-oriented architecture provides a unified solution for data discovery, observability, and AI governance. "Metadata is the missing link enabling organizations to transition from human-scale data analytics to machine-scale enterprise AI," said Lauri Moore, Partner at Bessemer Venture Partners. The new capital will drive innovation and support DataHub’s competitive edge in the metadata management market.
DataHub’s latest funding and strategic rebranding position it as a leader in metadata management for AI-driven enterprises. By addressing critical data challenges and enhancing real-time capabilities, DataHub is set to empower organizations to leverage AI safely and effectively, ensuring privacy and compliance without compromising performance.
DataHub, by Acryl Data, is an AI & Data Context Platform. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's active metadata platform provides real-time context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully-managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance—enabling AI & data to work together and bring order to data chaos.
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