Monitor your entire infrastructure from a single pane. AI detects anomalies, predicts failures, and recommends actions before issues impact service — turning reactive operations into proactive intelligence.
85%
Fewer outages
60%
Faster resolution
24/7
AI monitoring
From anomaly detection to automated remediation — AI manages your operational complexity.
Every sensor, every device, every connection point monitored continuously. AI correlates signals across your entire network.
AI learns normal patterns and detects deviations before they become outages. Early warning gives you time to act.
Machine learning models predict equipment failures days or weeks in advance based on sensor trends and historical patterns.
When issues arise, AI generates remediation plans with crew assignments, material requirements, and estimated resolution times.
Operational Memory
Jax agents learn from your natural language instructions about your unique processes and edge cases. E.g. “reserve 20% spare fiber capacity on all feeder cables by default.”
“Reserve 20% spare fiber capacity on all feeder cables by default”
Codex.Memory
Field observations, OTDR measurements, crew performance, and anomalies flow into a persistent memory layer. Patterns crystallize into learnings that shape future network designs automatically.
Optimal splice window: early morning
327 deployments
Rocky terrain: use micro-trenching
89 deployments
Reserve 20% feeder capacity in growth zones
156 deployments
Pole route > underground where frost depth > 1.2m
43 deployments
Crew pairs outperform larger teams on drops
214 deployments
829 deployments analyzed · 5 active learnings · 94% peak confidence · Always improving.
Continuous ingestion of sensor data, device telemetry, and environmental signals across your infrastructure.
AI correlates signals across data sources to identify anomalies and emerging patterns.
Automated remediation plans deploy with crew assignments and material logistics.
See how Nexma Operate transforms reactive maintenance into AI-powered proactive operations.