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Omen AI Secures $31 Million to Automate Industrial Fluid Monitoring

A single hour of unplanned downtime can cost enterprises over $300,000, yet many data centers still rely on days-long laboratory testing to assess equipment health. Omen AI is addressing this vulnerability with a $31 million Series A funding round to scale its real-time, spectroscopic fluid analysis technology across global infrastructure.

Omen AI Secures $31 Million to Automate Industrial Fluid Monitoring

The San Francisco-based company, founded by CEO Zach Laberge in 2024, has now raised a total of $41.5 million. Led by Nava Ventures, the latest investment includes support from CRV, Sheryl Sandberg, and executives from major industrial firms like General Motors and Johnson Controls. The startup targets a critical blind spot in modern AI infrastructure: the cooling systems that protect billions of dollars in GPU hardware.

Omen AI’s sensors attach directly to fluid systems, such as coolants or oil, to track metal content, bio-contaminants, and wear patterns in real time. This replaces the traditional "sample-and-wait" model with a continuous diagnostic stream. The technology is currently deployed across industrial fleets and data centers managing 10 to 14 gigawatts of capacity, serving operators who oversee more than 2 million machines. By moving from quarterly lab tests to constant monitoring, the company aims to move beyond reactive maintenance, allowing data centers to optimize performance while preventing catastrophic hardware failure.

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