Real-time analytical database built for autonomous AI agent workloads
PhoenixAI builds an AI-native analytical database that serves live and at-rest enterprise data to AI agents, with StarRocks, Apache Iceberg and C++ at the engine core across AWS, Azure and GCP. Hiring is accelerating and sales-led, backed by a deep ABM stack (Demandbase, 6sense, ZoomInfo), while engineering work centers on a cloud control plane and auto-scaling, signaling a push from core engine toward a managed cloud offering.
PhoenixAI is a privately held database company founded in 2022 and headquartered in Menlo Park, California, with 51–200 employees. Its product is a real-time OLAP engine designed to give autonomous AI agents fast, concurrent access to enterprise data while meeting governance and deployment requirements. The platform works with open lakehouse formats such as Apache Iceberg and Parquet and runs across AWS, Azure and GCP on Kubernetes. It targets enterprises putting agentic AI into production, and the company is hiring in the United States and Singapore.
PhoenixAI's engineering stack includes C++, Go, Java, StarRocks, Apache Iceberg, Parquet, Kafka and Kubernetes across AWS, Azure and GCP, with Salesforce, 6sense and Demandbase on the go-to-market side.
Yes. Hiring is accelerating and weighted toward sales and marketing, mostly at senior level, alongside engineering, product and support roles in the United States and Singapore.
PhoenixAI is developing a cloud control plane, auto-scaling features and core analytical database capabilities on StarRocks, while building closed-loop marketing attribution and agentic AI events.
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PhoenixAI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.