Agent demand can’t be forecast, meaning the database has to be ready for anything
Enterprises building an agentic AI architecture are learning that the database matters as much as the model. AI agents fire off thousands of unplanned queries at once — and expect answers in milliseconds. PhoenixAI, the trade name of CelerData Inc., raised $80 million this year to develop database technology for AI agents to solve this […] The post Agent demand can’t be forecast, meaning the…
Enterprises are discovering that a robust database is as crucial as the AI model when constructing an agentic AI infrastructure. PhoenixAI, the brainchild of CelerData Inc., has recently secured $80 million in funding to develop specialized database technology tailored for AI agents to manage the deluge of unplanned queries. Ross Armstrong, senior vice president of global sales at PhoenixAI, highlighted a notable gap in the current market for real-time analytics, which PhoenixAI aims to fill.
Armstrong asserted that despite the capabilities of established database players, real-time response is a challenge, especially for customer-facing applications and AI agents. PhoenixAI's solution, named PhoenixAI Anywhere, is designed to run across various environments, including cloud, on-premises, and air-gapped setups, offering a solution to governance and observability issues prevalent among early adopters.
The company plans to introduce AgentBase, a context environment that ensures agents access only the necessary data, enhancing security and governance. Armstrong emphasized that while PhoenixAI is not a mandatory requirement for deploying AI agents, it significantly improves the management of data access and compliance, addressing the critical need for real-time performance and structured query handling in agentic AI systems.
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