Quantum sensing targets industrial, data center energy optimization

Deep-tech startup xDots unveiled a quantum sensing system at Quantum Korea 2026 that uses diamond NV sensors to capture ultra-precise power consumption data for data centers and industrial facilities, aiming to identify energy savings conventional monitors miss. The xSee device feeds AI-powered optimization software, with pilots achieving 15-30% energy savings, though unverified. The company targets growing demand for granular power visibility as AI workloads increase energy use.

Deep-tech startup xDots unveiled a quantum sensing system designed to capture ultra-precise power consumption data that could help data center operators and industrial facilities identify energy saving opportunities that conventional monitoring systems may miss. The company introduced its xSee device at Quantum Korea 2026 in Seoul, positioning it as the hardware foundation of its xEnergy optimization platform. The device relies on diamond nitrogen-vacancy NV quantum sensors to measure electrical currents and magnetic fields with a claimed precision of ±0.01% while operating at room temperature. The sensor is designed to collect detailed power telemetry that feeds xDots' AI-powered optimization software. According to the company, the platform combines xSee with the xMon monitoring dashboard and xOpt optimization engine to analyze energy consumption in real time and recommend operational changes to reduce power use. The approach targets a growing challenge for data center operators. As AI workloads drive higher rack densities and electricity demand, operators are seeking increasingly granular visibility into how power is consumed across facilities. More detailed measurements can help identify inefficiencies in electrical infrastructure, cooling systems, and equipment operation that may be difficult to detect using conventional monitoring tools. While some quantum technologies rely on cryogenic cooling to maintain quantum coherence, diamond NV sensors operate at room temperature, making them easier to deploy in industrial environments. The sensors detect minute changes in magnetic fields generated by electrical currents, enabling highly sensitive, non-contact measurements without interrupting operations. XDots says installation can be completed within one to two days. The company demonstrated xSee at Quantum Korea using measurements previously collected from industrial sites, showing how the system captures rapid changes in electrical current during equipment operation. Because of exhibition constraints, the demonstration did not measure high-capacity industrial equipment in real time. XDots said it has already completed proof-of-concept projects with several South Korean organizations. Those deployments included refrigeration and freezing equipment operated by SPC Secta9ine, pump monitoring with Kolon Global, and HVAC optimization at Hoban Construction's "Island Resom" resort. The company said the pilots achieved energy savings ranging from 15% to 30%, although those figures have not been independently verified. Chief Executive Woodo Lee said the platform is intended to identify when industrial equipment is consuming unnecessary power and recommend more efficient operating cycles. In addition to manufacturing facilities, the company sees data centers, office complexes, and public infrastructure as potential deployment targets. The company said it plans to expand its initial proof-of-concept deployments as it targets data centers, manufacturing plants and other energy-intensive facilities where operators are under growing pressure to reduce electricity consumption while supporting increasingly demanding AI workloads.