Detect, predict, and diagnose customer-impacting events in real-time using AI-driven analytics.
Instantly detect and automatically predict subscriber-impacting outages and impairments, most of which currently go unnoticed.
Reveals event impact, origin, and root cause to prioritize and accelerate fault resolution and proactively optimize user experience.
Superpowers that reveal the invisible
Dynamically predicts and detects outages and impairments in mobile and fixed, physical and virtual networks.
Classifies, correlates and groups abnormal events affecting network performance and user experience.
Isolates fault location and diagnoses root cause to drive efficient, coordinated, prescriptive action.
Ingests and interprets data from multiple source systems to collapse siloes and extract integrated insight.
Nova SensAI’s unique, dynamic, customer-centric view accelerates operations and outcomes.
Optimize latency, network utilization and service delivery with end-to-end, multi-layer anomaly detection and correlated analytics.
Detect and troubleshoot transient degradations and periodic issues affecting performance to offer a differentiated experience.
Exceed expectations by optimizing network, service and cloud performance with dynamic, contextual insight into individual user experience.
Maintain QoE over highly dynamic, multi-technology networks and services by automatically detecting and diagnosing outages and degradations.
Drive down the largest source of churn and become the provider of choice with lightweight, AI-driven OTT video monitoring that sees video quality the same way people do.
SensAI correlates perceptive video quality metrics (QoE) with underlying network quality metrics (QoS) to automatically detect and diagnose the root cause of poor OTT video transport.
Gain complete visibility into dynamic, complex 5G networks to meet the elevated expectations of humans and machines.
Infuse insight into the individual experience into orchestrated domains and services to close the loop on 5G new revenue opportunities.