SIGMA monitors power and thermal signals in real time to detect anomalies before they cause downtime.
AI workloads are doubling power demand, pushing infrastructure past its limits. "Lights-out" autonomous data centers cannot rely on reactive alarms.
Cost of a data center outage
Of outages caused by power system issues
Cooling inefficiency among top 3 downtime causes
AI clusters draw up to 20× higher power than typical racks
Reactive alarms tell you after you've failed.
SIGMA gives you predictive reliability before it happens.
AI workloads are doubling power demand, pushing infrastructure past its limits. As data centers power the race to AGI, grids face unprecedented stress. Predictive—not reactive—technology is now essential to keep critical compute systems online, efficient, and sustainable.
SIGMA transforms your power infrastructure into a self-aware, intelligent system
Live electrical and thermal telemetry from sensors and simulations
AI model trained on synthetic (RTDS, Pandapower) and real data identifies fault signatures
Anomaly alerts integrate into existing dashboards — no new hardware required. When faults occur, SIGMA localizes them, telling you exactly where and how to respond
Deployed within Cal Poly's Smart Grid Lab environment
Detects real-time anomalies in live telemetry streams
Achieved 94.5% accuracy on simulated fault detection
Integrated with real RTDS & Pandapower data pipelines
Watch our 60-second demo showing SIGMA identifying anomalies before failure
Watch DemoWe blend grid protection expertise with modern AI engineering
Co-Founder / CEO
Built the full stack (Embedded / ML / Cloud)
Electrical Engineering — Cal Poly Pomona (Graduating Early, 2026)
Former Equipment Engineer Intern @ SDG&E
Co-Founder / PhD
20 years @ TVA — Power System Protection
PhD Electrical Engineering — Vanderbilt University
Utility relationships: Edison, LADWP, PG&E, SDG&E
We're starting with AI data centers — where reliability demands are highest.
Next: campus microgrids and industrial facilities.
Long-term, SIGMA will become the reliability layer for distributed energy systems as the grid transitions to renewables.
We're scheduling pilot programs with AI data centers and campus microgrids