The mission behind data management provider Hydrolix Inc. is fairly simple: to build the next generation of AI tools and provide AI-ready data for enterprises.
Hydrolix’s approach is designed to feed the growing agentic infrastructure. This is not simple, because agents demand millisecond response times and access to complete datasets for accuracy and timely decisions. Meeting those requirements calls for insights from petabyte-scale datasets. Hydrolix’s solution ingests information in real time while providing cost-efficient data retention and sub-second query response times to support agentic AI.
“When you’re talking about AI and how you can extract information out of data, how you can build models, it’s actually really important to have all the data,” said Catherine Johnson (pictured), vice president of global solutions engineering at Hydrolix. “When it comes to agentic AI, what we really are is a way to store all of that data so that you can ask it questions using natural language to get answers across the full dataset, not just parts of it. You really get a full picture of what’s happening.”
Johnson spoke with Christophe Bertrand, principal analyst at theCUBE Research, during an interview for the AWS Marketplace Series on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Hydrolix’s addition to AWS Marketplace and how the company delivers real-time analytics for insights in seconds. (* Disclosure below.)
