Serinity offers wide-area leak detection for high‑density AI data centers that use liquid‑to‑chip cooling. Its solution combines printed molecular‑film sensors, ultra‑low‑power IoT mesh nodes, and predictive analytics to monitor humidity and pressure across entire racks, providing real‑time alerts that prevent costly hardware damage and downtime.
Funding
Funding not disclosed
Founders
Product
Problem
High‑density AI data centers increasingly rely on liquid‑to‑chip cooling, but existing sensors cannot detect non‑conductive fluid leaks. Undetected coolant, condensation, or oil leaks can cause silent hardware degradation, thermal runaway, and costly downtime.
Solution
Serinity delivers a wide‑area leak detection system designed for liquid‑cooled AI clusters. Flexible molecular‑film sensors are deployed as rolls and cut to fit any rack or floor space, providing continuous coverage across the facility. Ultra‑low‑power IoT mesh nodes wirelessly transmit real‑time leak alerts and fluid type identification to the data‑center infrastructure management (DCIM) platform without any hard‑wired installation. Integrated chemical analysis distinguishes coolant, condensation, and oil, enabling precise, automated mitigation actions such as valve shutoff. Predictive analytics map leak locations and forecast risk, helping operators intervene before hardware damage occurs.
Target Audience
Primary customers are operators of high‑performance AI data centers and hyperscale facilities that use liquid‑to‑chip cooling, as well as infrastructure managers responsible for maintaining hardware reliability and uptime.
Features
- Printed, flexible molecular‑film sensors that detect fluid presence via impedance changes at the molecular level
- Ultra‑low‑power wireless mesh nodes that relay real‑time alerts to DCIM without cabling
- On‑site chemical analysis to identify specific fluid types (coolant, condensation, oil)
- Spatial mapping UI showing exact leak location and status for rapid response
- Compatibility with both water‑based and dielectric liquid cooling systems
- Predictive analytics engine that assesses leak progression and suggests mitigation steps