Datavolo Gains $21M Investment for Scalable & Secure AI Data Pipelines

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Datavolo Gains $21M Investment for Scalable & Secure AI Data Pipelines

Datavolo has successfully secured $21 million in funding to enhance its efforts in providing customers with scalable and secure multimodal data pipelines essential for artificial intelligence (AI) applications. With this fresh infusion of capital, Datavolo plans to transform Apache NiFi, originally developed at the National Security Agency (NSA) for secure data handling, into a cloud-native managed service. This advancement aims to support the development of sophisticated pipelines for cutting-edge AI technologies, as stated in their recent press release on Tuesday.

The brainchild of CEO Joe Witt and Chief Operating Officer Luke Roquet, Datavolo is dedicated to addressing the challenges of multimodal data pipelines for businesses eager to leverage secure and scalable AI applications. The funding initiative was spearheaded by General Catalyst, with contributions from Citi Ventures, Human Capital, Rob Bearden, and MVP Ventures. Datavolo’s mission is to empower organizations to leverage generative AI by overcoming the limitations imposed by the accessibility of timely, secure, and comprehensive data sets. Meanwhile, in a related development within the AI industry, the British AI company Luminance, which specializes in legal document analysis, announced it has raised $40 million to expand its presence in the United States.

“Luke and I feel fortunate to collaborate with exceptional investors and advisors, assembling an extraordinary team with deep enterprise expertise.

Every team member is dedicated to the mission of advancing generative AI applications tailored to the data-intensive needs of our customers.”

— Joe Witt, CEO Datavolo

“When AI systems become the backbone of daily business operations, it will be built on a data architecture, which is multimodal and real time.

Joe and Luke are not just building another data platform; they’re setting the stage for a future where data isn’t merely handled but intelligently harnessed to fulfill the evolving requirements driven by AI.”

— Quentin Clark, managing director of General Catalyst

Featured image: Credit: Datavolo