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Omen AI buys Aquatic Labs for 16 million dollars

Omen AI bought Aquatic Labs for 16 million dollars in cash and stock. One combined sensor will read both cooling fluid flow and water chemistry.

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Editorial2 min read

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Data center cooling pipes feeding racks of servers

Image: TechCrunch

Why it mattersOne sensor reading flow and water chemistry means less fluid dumped. That means fewer chips damaged in the plants that train AI models.

Omen AI bought Aquatic Labs on 2 November for 16 million dollars in cash and stock. TechCrunch reported the deal from a conversation with the two companies. Both make sensors for data center cooling.

Omen AI's own sensor watches the fluid itself. It flags a failing valve or a bacteria growth that could choke off the water flow around hot chips. Aquatic Labs' sensor reads the water chemistry: the alkalinity, which rises as the fluid cycles through the system. The two teams want to put both into one sensor.

Why the deal fits the moment

US data centers used 17 to 19 billion gallons of water last year to cool their chips, TechCrunch reports. The outlet writes that the number is expected to triple in the next five years. Compute racks that train large models drive the growth. Nothing in that growth works without a cooling loop that keeps running.

The sharpest line in the piece is about what happens when the fluid goes bad. Operators dump the water rather than risk damage to their equipment, TechCrunch reports. A failed loop costs a full tank of water on top of any lost compute hour.

What combines in the new product

Omen AI raised a 31 million dollar Series A in June, TechCrunch reports. The deal is cash and stock. Zach Laberge founded Omen AI. Allan Adams was chief executive of Aquatic Labs and will be chief science officer of the combined team.

The combined sensor is set to launch in early 2027. The team expects to monitor chips drawing 250 to 300 megawatts of power by the end of 2026. They aim for the equivalent of one gigawatt by the end of 2027. Those are Omen AI's own figures.

A product line that reads flow and chemistry in the same unit catches two kinds of failure early. Today a plant that sees the fluid change colour will often dump the whole loop as a precaution. One sensor that names the exact fault, in near real time, cuts the cost of being wrong.

What this means for a team building on AI

For a team paying someone else to train or run a model, the cooling story is not in the invoice. It sets the ceiling on how fast a provider can take on new compute. It also sets the floor on what they will charge when water starts to run short. Hyperscaler contracts for 2027 and 2028 are being signed now against that ceiling.

A 16 million dollar deal between two small sensor companies will not fix the water bill. The AI compute build-out is a water story as much as a power story. Buyers who read only the power side are missing half the risk.

Source

TechCrunch on the Omen AI and Aquatic Labs deal.

Reported byTechCrunch

This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.

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