PhoenixAI, formerly known as CelerData, is launching the Agentic AI Database, an analytical engine designed for AI agents to query live enterprise data at sub-second latency and massive concurrency. The company also named Rick Underwood as president to lead its next phase of growth and customer delivery.
According to the company, the relaunch reflects a fundamental shift in how enterprise data gets consumed. AI agents are increasingly the dominant workload on enterprise data, and they query differently than human analysts: thousands of concurrent agents, sub-second latency requirements, and a need for live data unified with historical context that traditional analytical databases were never designed to serve.
"Most of today's analytical databases were architected for a world that no longer exists, where humans ran dashboards on flat tables and complexity was someone else's problem," said Underwood. "When thousands of agents need to query, reason, and act on petabytes of live data simultaneously—any question, simple or complex—the database is either the bottleneck or the breakthrough. PhoenixAI is built to provide the breakthrough that agentic AI needs, not the bottleneck it can't afford."
PhoenixAI is built around three deciding factors for any enterprise putting AI agents into production: speed, simplicity, and governance. Speed means sub-second latency and high concurrency on live data, so agents act on what's true now, not yesterday's snapshot. Simplicity means a unified engine for real-time and historical data, eliminating brittle pipelines and reducing total cost of ownership. Governance means built-in data sovereignty, role-based access control, SOC 2 standards, and encryption, deployed in the customer's own cloud (BYOC) or self-hosted with PhoenixAI Anywhere.
PhoenixAI is available now as a BYOC deployment in the customer's own cloud and as a self-hosted option with PhoenixAI Anywhere.
For more information about this news, visit www.phoenixdata.ai.