Phaidra deploys autonomous AI agents to manage power, cooling, and workload systems in AI factories and data centers, optimizing energy efficiency.
Phaidra, Inc. develops autonomous AI agents designed to manage the complex physical infrastructure of AI factories and data centers. The company's technology applies reinforcement learning to industrial control systems, orchestrating power, cooling, and workload management to maximize computational output per unit of energy consumed. Its agents convert raw sensor data into operational actions without requiring human-written code.
The company's systems are deployed across cooling distribution units (CDUs) managing thermal spikes, with a reported deployment covering nearly 80% of such units in its operational environments. Phaidra states that its technology has achieved a 40% reduction in data center cooling costs for its clients.
In addition to its autonomous agents, Phaidra offers an LLM-first assistant for operations teams. This tool is designed to accelerate the discovery and troubleshooting of infrastructure issues, reducing resolution times from days to minutes. The company's technical domains include reinforcement learning, industrial control systems, AI-powered automation, and data center management.
