Omen AI Raises $31 Million to Develop Real-Time Fluid Monitoring System for Data Centers
July 1, 2026
Omen AI Raises $31 Million to Develop Real-Time Fluid Monitoring System for Data Centers
Omen AI, a San Francisco-based startup specializing in fluid analytics for data center equipment, has raised $31 million in Series A funding to scale its real-time monitoring technology. The round, led by Nava Ventures, brings the company’s total funding to $41.5 million since its founding in 2024.
The investment marks a growing recognition of the need for predictive maintenance in data centers, where unplanned equipment failures can disrupt critical operations and incur massive costs. Omen AI’s system uses fluid analysis—examining oil, coolant, or water in servers and other hardware—to detect early signs of wear, contamination, or degradation. By attaching sensors directly to a machine’s fluid system, the company claims it can deliver real-time data on metal content, bio-contaminants, wear patterns, and fluid quality, helping operators identify components at risk of failure before they break down.
“I started working with heavy equipment manufacturers as a teenager and watched machines fail because of the antiquated methods the industry uses for monitoring fluid health,” said Zach Laberge, founder and CEO of Omen AI. “Taking a sample, shipping it to a lab, and waiting days for results is dangerously inadequate when you’re protecting billions in GPU infrastructure and operating industrial machines. Omen AI was built to prevent catastrophic failure. We help data centers push their hardware to the absolute limit, unlocking compute performance operators didn’t know they had, and enabling industrial machine operators to prevent costly failure.”
The Series A round attracted prominent investors, including Meta’s former chief operating officer Sheryl Sandberg, and Mike Mattacola, chief business officer at neocloud CoreWeave. Other participants included CRV, Vanderbilt University, LMNT Ventures, Mann+Hummel, Borusan Ventures, Starhill Holdings, Hard Launch Capital, and executives from Bridgestone, GM, Johnson Controls, and TensorWave.
Omen AI offers two product packages for data centers: permanent sensors that attach non-invasively to a machine’s fluid system, and a portable diagnostic unit for on-the-spot issue identification. The company says it already works with data center operators representing $200 billion in assets and between 10 GW and 14 GW of capacity, monitoring coolant health in real time for these clients.
The broader implications for the industry are significant. As data centers increasingly adopt liquid cooling to manage the heat from high-performance GPUs and AI workloads, the ability to continuously monitor fluid health becomes critical. Traditional methods—taking samples and sending them to labs—can take days, leaving operators blind to sudden failures. “Whether it’s a liquid-cooled AI infrastructure or a fleet of industrial machines, the cost of an unplanned failure is staggering,” said Cory Rellas of Nava Ventures. “Despite the high stakes, these systems are still monitored with lab tests that take days. Omen AI built the solution: continuous, real-time visibility into the health of the machines doing the world’s most critical work. Zach and his team aren’t just building a better sensor; they’re building the nervous system for the machines powering the modern world.”
Source: datacenterdynamics
