Our SENTRIX™ platform uses physics-informed AI to predict equipment failures up to 30 days before they happen—not by pattern-matching historical data, but by understanding how machines actually degrade. We deploy in weeks, not months. 

​

Physics-informed AI requires physics-grade sensing. Spearix RADiS WirelessHART sensors provide the high-frequency, multi-modal data foundation that enables Choir PINN-GNN models to validate physical constraints in real-time—achieving accuracy impossible with industry-standard 1-minute polling.