source: techcrunch ai: omen ai’s plan to optimize data centers is all wet
level: technical
data centers cooling high-power ai chips with liquid face a hidden problem: bacterial growth. the coolant mix includes water and biocide, but running chips hotter means using more water, which weakens the biocide and lets bacteria thrive. this clogs pipes and forces operators to flush entire racks, causing hours of downtime that can cost millions. omen ai built a small spectrometer that continuously checks fluid chemistry, spotting contamination early so teams can act before a shutdown is needed.
the device also detects wear metals like copper or silicon, signaling failing pumps or seals. omen started in 2024 targeting construction equipment, but customer demand from caterpillar dealerships supplying data center generators pushed it toward cooling systems. the startup now works with a dozen data center operators, including tensorwave, an ai cloud provider. a $31 million series a led by nava ventures will scale production and refine the sensor's signal processing software.
omen competes with firms like pyxis, which recently launched a similar coolant monitor. the technology relies on cheaper optical hardware and advanced algorithms to extract clear signals from noisy fluid data. founder zach laberge, who dropped out of high school after raising $3 million for a prior startup at age 14, says real-time insight removes the blind spot that forces risky, reactive maintenance. the approach aims to keep ai infrastructure running without surprise outages.
why it matters: real-time fluid monitoring can prevent millions in downtime for ai data centers, making high-density compute more reliable and efficient.
source: techcrunch ai: omen ai’s plan to optimize data centers is all wet