AI data centers
Designed-versus-usable capacity, thermal propagation, transient power, workload movement, equipment variance, and reserve-margin analysis.
Liquid cooling
Coolant conditions, pump and valve response, flow imbalance, CDU state, contamination, and heat-rejection analysis.
Power and energy
Load shaping, protection limits, storage timing, power quality, and candidate flexibility verification.
Industrial fluid systems
Valve-package performance, actuator timing, process recovery, pressure loss, cavitation, flashing, and cause attribution.
Water infrastructure
Fouling, breakthrough, chemistry drift, treatment-train derating, pumping energy, and water-energy tradeoffs.
OEM and EPC offerings
Potential product differentiation, commissioning evidence, handover support, co-development, and licensing.
Is there a measurable loss and a credible way to test the cause?
That determines whether the correct entry point is a non-confidential screen, analytical review, controlled validation, OEM diligence, or licensing discussion.