PhoenixAI Raises $80M Series B as Agentic AI Infrastructure Becomes the Next Enterprise Battleground

Every major technology shift creates a new pressure point. First it was compute. Then storage. Then cloud infrastructure. Now, as autonomous systems move from demos to deployment, success depends on accessing the right data fast enough to make decisions that matter. PhoenixAI, a Menlo Park, California-based AI infrastructure company, just raised $80M in Series B funding led by Sky9 Capital, with participation from Atypical Ventures, Olive Technology Ventures, and existing investors. PhoenixAI develops an analytical database designed to give AI agents sub-second access to live enterprise data, a category attracting increasing attention as enterprises move AI from experimentation into production.

What Happened

For years, databases were built primarily for humans. Dashboards, reports, and analytics helped people understand what happened. AI agents introduce a different challenge. They need access to live information in real time across massive amounts of enterprise data. PhoenixAI, formerly CelerData, believes that challenge requires a different foundation.

James Li, Co-Founder & CEO, Andy Ye, Co-Founder & COO, and Alvin Zhao, Co-Founder & CTO, built PhoenixAI around a simple observation: data systems designed for analysts were never intended to support thousands of autonomous agents making decisions against live enterprise data simultaneously. The rebrand from CelerData to PhoenixAI reflects a sharper focus on AI-native environments where speed and access to fresh data become mission-critical. Alvin Zhao architected the platform's core engine around large-scale query performance and real-time access, while Andy Ye leads operations and customer success. James Li continues to drive the company's vision around infrastructure purpose-built for AI systems.

Why This Matters

The leadership team was further strengthened with Rick Underwood, President. Underwood previously served as CEO of Clumio and held senior leadership roles at Snowflake through its IPO. His focus spans go-to-market, customer success, finance, and operations as PhoenixAI expands its enterprise footprint.

The investment also highlights conviction in a category gaining momentum. Ron Cao, Founder and Managing Partner of Sky9 Capital, is backing a future where AI systems increasingly depend on fast, reliable access to enterprise data. Infrastructure rarely captures the same attention as applications, but history tends to reward the companies building foundational layers when new technology markets mature.

Market Context

PhoenixAI's platform is designed to provide sub-second access to real-time and historical data. That capability matters because the next phase of AI will be measured less by what models generate and more by what systems accomplish using live information. As enterprises push beyond experimentation and into production deployments, access to current data becomes a competitive advantage rather than a technical feature.

Customer adoption supports that view. Coinbase, Demandbase, Conductor, AppLovin, Pinterest, Expedia, Eightfold AI, and Fresha operate in environments where performance and reliability matter. Their presence on the customer roster reinforces a broader market trend: enterprise AI becomes significantly more valuable when connected to current, actionable data.

What This Signals

The broader takeaway is straightforward. As AI moves into production, infrastructure becomes increasingly valuable. Companies that help AI systems access and act on enterprise data efficiently are positioning themselves at a critical layer of the technology stack.

PhoenixAI's $80M Series B signals that investors and customers see that opportunity forming in real time. While much of the market remains focused on models and applications, PhoenixAI is building in a layer that determines whether those systems can operate effectively when connected to real-world enterprise environments.