Omen AI

Omen AI provides a continuous fluid intelligence platform designed to prevent costly failures in critical machinery by monitoring fluid health in real time. The company was founded in 2024 by CEO Zach Laberge and is headquartered in San Francisco. Laberge, who started his first venture-backed company at 14 and dropped out of high school to run it, founded Omen AI at 18. His experience with heavy equipment manufacturers highlighted the inefficiencies of traditional fluid monitoring, which relies on slow, off-site lab tests.

Omen AI's core technology utilizes spectroscopic sensors to analyze fluids like oil, coolant, and water directly within a machine's system. This enables the continuous tracking of over 21 elemental signatures, including metal content from wear, bio-contaminants, and signs of fluid degradation. By identifying potential issues before they escalate, the platform helps operators in data centers and industrial sectors avoid unplanned downtime, which can cost large enterprises over $300,000 per hour. The company initially focused on heavy industrial machinery but pivoted to also serve the rapidly growing liquid-cooled AI data center market after early customers requested monitoring for their buildings.

The company offers its technology in two main configurations: a permanent, non-invasive sensor for continuous monitoring of a single machine, and a portable diagnostic unit that allows technicians to perform immediate, on-site analysis across multiple assets. Its client base includes data center operators managing over $200 billion in assets and industrial fleet operators, such as Carolina CAT, that collectively generate over $150 billion in revenue. In June 2026, Omen AI announced a $31 million Series A funding round led by Nava Ventures, bringing its total capital raised to $41.5 million. This funding is intended to scale manufacturing and accelerate product engineering.

Keywords: fluid analysis, predictive maintenance, spectroscopic sensors, real-time monitoring, machinery health, data center cooling, liquid cooling, industrial equipment, asset monitoring, condition monitoring, oil analysis, coolant monitoring, equipment failure prevention, heavy machinery, AI infrastructure, IIoT, industrial sensors, downtime prevention, fluid intelligence, contamination detection, wear pattern analysis, equipment reliability, prognostic hardware, asset management