Collate, the Menlo Park, CA-based the innovative company behind the rapidly growing open-source project OpenMetadata, announced that it was successfully funded $10 million in Series A funding. The round, led by Venrock with participation from strategic angel investors from Unusual Ventures and Karman Ventures, positions Collate to significantly accelerate its mission of solving complex data intelligence challenges for enterprise customers.
Despite massive investments in data platforms, businesses globally continue to grapple with extracting full value from their data and AI initiatives. The explosion of data and diverse tools has led to pervasive data silos, fragmentation, and a fundamental disconnect between business and technical teams. Issues such as a lack of trust in data due to quality concerns, and manual, fragmented tooling that stifles productivity, are rampant across organizations. Collate aims to directly address these pain points with its AI-powered platform for “agentic data intelligence.”
Suresh Srinivas CEO of Collate stated, Collate’s Series A couldn’t come at a more critical time, they’re during an AI race — not just for getting data ready for AI, but for how AI itself helps prepare that data. The winners will be organizations with highly functioning data teams augmented by AI.
Collate’s platform, built on the open-source core of OpenMetadata, provides a unified solution for data discovery, observability, and governance. OpenMetadata itself has seen phenomenal growth, boasting over 9,800 members and a 3,000% increase in community engagement, a testament to its relevance and utility within the data ecosystem. The recent $10,000 grant from Bloomberg’s FOSS Contributor Fund further underscores its importance to the open-source community.
The new capital infusion will be strategically deployed across several key areas to fuel Collate’s growth and innovation. A significant portion will go towards accelerating the OpenMetadata community, fostering further collaboration and development. Collate also plans to expand its engineering investment in AI agent development, enhancing the platform’s ability to automate tasks and drive collaboration for data teams. Furthermore, the funding will scale go-to-market operations for both enterprise and cloud-native organizations, and bolster customer success services, particularly for Fortune 500 customers.
Collate’s leadership team, including CEO Suresh Srinivas and CTO Sriharsha Chintalapani, brings extensive experience in modern data infrastructure. Their backgrounds include significant contributions to industry-standard tools like Apache Hadoop and Apache Kafka, and leadership roles at companies such as Hortonworks and Uber, where they were instrumental in shaping data cultures. Their vision for Collate is centered on delivering AI-powered data discovery, observability, and governance through a Unified Knowledge Graph, a democratized user experience, and open-source technologies.
Enterprise customers frequently encounter challenges related to poor data quality, lack of data awareness, and the sheer complexity of managing vast and disparate data ecosystems. Collate’s platform directly tackles these issues by providing a single source of truth for data sources, pipelines, and products. With over 90 data connectors, its solution enables seamless search, facet, and preview capabilities across an organization’s entire data estate, fostering collaboration and empowering data practitioners.
The impact of robust data intelligence on enterprise strategy is profound. Companies no longer just compete on products or price, but on actionable, timely insights derived from well-structured and understood data. Collate’s “agentic approach,” uniquely powered by richer metadata context from its knowledge graph and open-source core, is designed to solve these “last-mile” data challenges, enabling enterprises to innovate faster with AI and data. This investment marks a significant step forward in making advanced data intelligence accessible and actionable for businesses striving for a truly data-driven future.
By: K. Tagura
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