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PhoenixAI Launches as the New Agentic AI Database

On May 20, 2026, PhoenixAI announced its rebranding and launch as the Agentic AI Database, a transformative analytical engine tailored specifically for autonomous AI agents. This strategic shift not only marks a new chapter for the company, formerly known as CelerData, but also emphasizes the increasing demand for efficient access to real-time enterprise data in AI applications.

Rick Underwood has been appointed as President of PhoenixAI, a move that signifies the company's commitment to harnessing growth in the AI domain. With extensive experience, including leadership roles at Clumio, Snowflake, and Wavefront, Underwood is tasked with overseeing market strategies, customer success, and operational frameworks as the company navigates its next growth phase.

A Need for Speed and Simplicity

The launch reflects a critical rethinking of how enterprise data is consumed. Traditional databases were primarily designed for human analysts, engaging in ad-hoc queries and dashboard creation. In stark contrast, the recent surge in AI agents demands a database that can handle thousands of concurrent queries and provide results with sub-second latency. Underwood noted, "When thousands of agents need to query, reason, and act on petabytes of live data simultaneously — the database is either the bottleneck or the breakthrough. PhoenixAI is built to provide the breakthrough that agentic AI needs."

This new database aims to solve the complexities faced by existing columnar databases which struggle to support dynamic agent workloads. PhoenixAI's architecture eliminates cumbersome processes for the user, simplifying the transition and enhancing usability.

The Foundation of PhoenixAI

PhoenixAI operates on three core principles that shape its design and functionality: speed, simplicity, and governance. Here’s how each element plays a crucial role:
1. Speed: The database is engineered for sub-second latency to ensure that AI agents can act on the most accurate and up-to-date data available, avoiding reliance on outdated snapshots.
2. Simplicity: Combining real-time data with historical context into a unified system encourages a reduction in fragility typically associated with data pipelines, which will ultimately cut down on the overall cost of ownership for enterprises.
3. Governance: PhoenixAI emphasizes robust governance, integrating features like role-based access control, encryption, and compliance with SOC 2 standards, allowing organizations to maintain stringent security measures regardless of deployment options.

Deployment Options Available

PhoenixAI’s systems are adaptable to various enterprise needs; organizations can choose to deploy the engine within their own cloud environment as a Bring Your Own Cloud (BYOC) option or utilize a self-hosted solutions like PhoenixAI Anywhere. This flexibility caters to different organizational infrastructures while ensuring security and performance.

As PhoenixAI takes steps into the market, it positions itself as a key player in the rapidly evolving landscape of enterprise data analytics. Companies looking to integrate AI into their operations or refine their data management strategies would do well to consider the advantages that PhoenixAI’s offerings present.

Learn more about their services and how they could benefit your enterprise by visiting phoenixdata.ai.

About PhoenixAI

PhoenixAI, based in Menlo Park, California, is an innovative database platform designed specifically to provide autonomous AI agents with immediate access to live enterprise data at scale. By unifying real-time and historical data, PhoenixAI is prepared to support the next generation of AI workloads for businesses aiming to embrace AI-driven operational efficiency.