AI data centers increasingly depend on liquid cooling, but the fluid itself can become a blind spot. Metal particles, biological contamination and aging coolant can create failures that operators may not see until downtime becomes expensive.
Omen AI raised a $31 million Series A on June 30, bringing total funding to $41.5 million. Former Meta executive Sheryl Sandberg is among the investors. The company installs spectroscopic sensors directly in machine fluid lines to read coolant, oil and water conditions in real time, including signals from more than 21 elements.
Founder Zach Laberge said taking a sample, shipping it to a lab and waiting days for results is dangerously inadequate.
From lab reports to live monitoring
The pitch is aimed at the gap between modern AI infrastructure and old maintenance routines. Instead of sampling fluid and waiting for a laboratory report, Omen wants operators to see contamination, wear and degradation as it happens.
The company says its sensors are already used by data center customers managing 10 to 14 gigawatts of compute infrastructure and about $200 billion in assets. Nava Ventures led the round, with CRV, Vanderbilt University, Mann+Hummel and executives from Bridgestone, GM and Johnson Controls also participating.
Sources: CocoLoop, PR Newswire, Pulse 2.0 and Data Center Dynamics reports on Omen AI raising $31 million for continuous fluid intelligence in AI infrastructure.