Solutions > AI Predictive Maintenance
AI predictive maintenance involves the use of machine learning (ML) algorithms to analyze operational data, identify patterns, and anticipate failures before they occur. This enables proactive interventions and minimizes unplanned downtime.
Bloxtel’s solution leverages its patent-pending, ephaptic coupling–inspired AI mechanism to enhance fault detection, forecast infrastructure wear, and enable self-healing behaviors across 5G and edge components. By analyzing logs from 5G Core, RAN, and OSS/BSS systems, the built-in AI agent applies proprietary ML models to predict outages before they occur, reduce manual interventions, extend hardware lifespan, and maintain network uptime in decentralized deployments.