Omen AI Buys Aquatic Labs for $16 Million to Cut Data Center Water Waste
Omen AI buys Aquatic Labs for $16 million, combining water sensors to cut data center waste, downtime and cooling risks across U.S. sites.
Summary
Omen AI agreed on November 2, 2026, to acquire Aquatic Labs for $16 million in cash and stock, following its $31 million Series A in June. Founded in 2024 by Zach Laberge, Omen is developing real time sensors to replace laboratory cooling fluid tests that take days. Omen detects elements in water and warns of failing valves or flow threatening bacteria, while Aquatic measures alkalinity. Aquatic CEO Allan Adams becomes chief science officer, with an integrated sensor expected in early 2027.
U.S. data centers consume 17 to 19 billion gallons of cooling water annually, a total The Water Foundation expects to triple within five years. By the end of 2026, Omen expects its initial sensors to monitor chips drawing 250 to 300 MW and worth $5 billion to $7 billion, before targeting 1 GW by the end of 2027. Better monitoring could extend fluid life, prevent costly shutdowns and reduce unsafe discharges into municipal water systems.
AI infrastructure spending was once estimated at up to $4 trillion by 2030, but investor skepticism has recently pushed hyperscaler stocks lower. Omen says its postconstruction business is insulated because customers are deploying projects financed 12 months earlier. Laberge argues that even a halved AI infrastructure market would remain exceptionally large.
Positives
- $16 million acquisition combines Omen’s element detection with Aquatic Labs’ alkalinity monitoring in one planned sensor.
- 250 to 300 MW of chips worth $5 billion to $7 billion should be monitored by Omen sensors by the end of 2026.
- 1 GW of chip capacity is Omen’s installation target by the end of 2027.
- Real time monitoring could keep cooling fluid usable longer while reducing shutdowns, cleanup costs and municipal water risks.
- $31 million Series A funding raised in June gives Omen capital to integrate and commercialize the combined technology.
Risks & concerns
- 17 to 19 billion gallons of water are already used annually by U.S. data centers, with consumption expected to triple within five years.
- Cooling fluid problems can force operators to dump water and halt operations rather than risk damage to expensive chips.
- Early 2027 remains the target for the integrated sensor, leaving execution and commercialization work unfinished.
- Up to $4 trillion in projected AI infrastructure spending by 2030 faces growing investor skepticism and falling hyperscaler stocks.