As artificial intelligence drives demand for more computing power, data centers are searching for smarter ways to keep liquid-cooled systems efficient. One emerging challenge is maintaining the health of the cooling fluid, which can become contaminated as operators push systems to perform at higher levels.
Omen AI is addressing that need with a compact spectrometer designed to track fluid conditions in real time. The device can detect bacterial growth early, helping operators avoid disruptive maintenance cycles and improve visibility into what is happening inside critical infrastructure.
The company said it has raised $31 million in a Series A round led by Nava Ventures, with participation from CRV, Vanderbilt University, Mann+Hummel, Starhill Holdings, and Hard Launch Capital, along with executives from Bridgestone, GM, Johnson Controls, and Tensorwave. Omen has now secured $40 million since its founding in 2024.
Founded by Zach Laberge, Omen began with sensor technology for heavy equipment before expanding into building systems and, more recently, data centers. The company's approach combines optical hardware with signal processing software to turn fluid chemistry into actionable insights at scale.
Omen is already working with multiple data center customers, including TensorWave, as the industry looks for better tools to support AI infrastructure. The broader trend points toward a future where real-time monitoring becomes a core layer of digital operations.