PhoenixAI, the Agentic AI Database, introduced an $80 million Collection B funding spherical led by Sky9 Capital, with participation from Atypical Ventures and Olive Expertise Ventures, and former buyers. The spherical will speed up improvement of the corporate’s AI-native database, broaden its go-to-market initiatives, and deepen governance for regulated industries.
“Right now’s agentic panorama has moved rapidly from planning and prototyping to full-on manufacturing for mission-critical work — serving prospects, managing provide chains, and driving inside workflows. Brokers now fireplace off 1000’s of unplanned, real-time queries, typically swarming techniques with questions that weren’t anticipated when the info stack was designed, demanding evaluation throughout stay knowledge, historic information, and a number of techniques directly, which strains present knowledge stacks. PhoenixAI closes that hole by giving enterprises a quicker, extra environment friendly approach to serve these workloads at scale with the extent of governance the C-suite expects,” mentioned Rick Underwood, President of PhoenixAI.
Underwood leads go-to-market and operations at PhoenixAI. He was beforehand CEO of Clumio (acquired by Commvault) and held senior go-to-market management at Snowflake via its 2020 IPO.
Enterprise demand for infrastructure constructed particularly for AI brokers is accelerating. Brokers question in another way than individuals: they function in actual time, issuing unpredictable questions no historic analytics stack was constructed to deal with. Consequently, answering agent questions requires becoming a member of stay and historic knowledge on the fly in ways in which conventional databases had been by no means designed to assist. Conventional databases keep away from that work by requiring groups to pre–mannequin and reshape knowledge for every “anticipated” query that human customers could ask, however that method breaks down the second brokers begin asking new questions at scale.
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Market main firms together with AppLovin, Coinbase, Conductor, and Demandbase already run PhoenixAI in manufacturing and are seeing the strategic benefit it delivers.
“PhoenixAI modified the equation: streaming updates from Kafka develop into queryable inside seconds, analysts get sub–second responses on stay normalized knowledge, and our AI brokers function on the identical actual–time dataset. This stage of efficiency at scale essentially adjustments what knowledge groups can do.”
— Xinyu Liu, Senior Workers Software program Engineer, Coinbase
“PhoenixAI now serves that workload as the actual–time analytical database on prime of our knowledge lakehouse. Manufacturing queries scanning lots of of hundreds of thousands of rows return in below a second, and that is the structure we’d like for the following era of agentic workloads.”
— Wei Zheng, Chief Product Officer, Conductor
“PhoenixAI provides us a quick, remoted warehouse for agent workloads instantly on our Apache Iceberg tables, with the optimizer dealing with novel joins robotically.”
— Ryan Nowacoski, Senior Engineering Supervisor, Knowledge Platform, Demandbase
Sky9 Capital is a world enterprise agency targeted on AI, fintech, and deep tech, and has backed frontier AI leaders together with Moonshot AI, maker of Kimi, and autonomous-driving firm WeRide. Sky9 now leads PhoenixAI’s Collection B spherical.
“The transfer to agentic AI is likely one of the largest infrastructure shifts we’ve seen, and the database is on the heart of it. Enterprises can’t put brokers into manufacturing till one thing can serve them stay knowledge on the velocity and scale brokers now demand. That’s the issue PhoenixAI was constructed to resolve, and we’ve been impressed by the corporate’s early traction with demanding enterprise prospects — we’re proud to guide this spherical and again the corporate defining the class,” mentioned Ron Cao, Founder and Managing Companion, Sky9 Capital.
