Data-grounded perspectives on AI and critical assets.
Field notes, case studies, and technical thinking from teams deploying lifecycle intelligence in defense, energy, and infrastructure.
How metering infrastructure built for compliance became an AI-driven optimization engine.
When a major East Coast terminal deployed circuit-level metering for energy tracking, the goal was regulatory compliance. What Peaxy's data threading found — three distinct anomalies across HVAC, rooftop units, and tenant loads — was worth six figures in annual savings no one had been looking for.
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How to prepare data pipelines for anomaly detection in modern analytics workflows
Anomaly detection is only as good as the data flowing into it — why timestamp accuracy, schema consistency, and real-time enrichment matter before a single model is deployed.
What Circuit-Level AI Can Find Inside an Airport Operation
Most terminal monitoring systems are built to track what's already visible. Three findings from a live engagement — none of which triggered a single alarm.
Digital twin security: Lessons from defense and energy infrastructure
When the twin mirrors a mission-critical system, security isn't a compliance exercise — it's an architecture problem. What a decade of DoD and energy deployments teaches about getting it right.
Digital twins in battery analytics: New opportunities to optimize lifecycle costs, performance and reliability
Tracking a battery from raw material to recycling is now a compliance requirement. Why lifecycle intelligence is becoming the differentiator for battery OEMs.
Before a battery is born: how analytics can benefit metrology
XRD, TGA, BET, microscopy each tell a part of the story. Why threading metrology data across the R&D workflow surfaces the patterns that isolated measurements miss.