Eventador raises $2.5M round led by LiveOak Venture Partners

June 11, 2018
eventador austin founders
photo provided by eventador

Just under two years ago, serial entrepreneurs Kenny Gorman and Erik Beebe launched Eventador to make data streaming happen in a fraction of the time required by current standards.

While the slashing of time from seconds to milliseconds might not seem like a big deal to humans, for data, it’s huge.

With a small seed funding in tow, the duo sought to transfer data by building an entirely new framework that manipulates data in real time, moving it directly to its intended destination without interruption.

On Monday, investors threw more money toward Eventador with a fresh $2.5 million. The startup plans to use the funding to push market adoption across the U.S. and Europe and toward engineering, operations, support and R&D initiatives.

Led by LiveOak Venture Partners, June’s seed funding included participation from Deep Space Ventures, RSH Ventures, Capital Factory and existing investor Keshif Ventures. As part of the investment, LiveOak partner Venu Shamapant will join Eventador’s board.

“As the modern enterprise increasingly depends on real-time data, streaming architectures are replacing traditional database systems as the de facto standard,” said Shamapant. “Eventador uniquely addresses this data evolution.”

Part of Eventador’s architecture redesign involved developing a fully-managed platform on Apache Kafka and Apache Flink that doesn’t require companies to hire internally to run. Instead, users can quickly deploy Eventador’s data streaming solutions, or seamlessly integrate or build their own models.

“Stateful stream processing is changing how developers build modern, real-time applications,” said Beebe, Eventador co-founder and CTO. “Customers love being able to leverage a simple, powerful interface, along with expert support, to quickly build cutting-edge, production-ready streaming applications.”

Eventador’s customers come from a variety of industries that share one thing in common: the importance of real-time data. This includes IoT, manufacturing, network security, machine learning, threat detection and geolocation services.

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