NumoData Mobile Network Assurance combines active and passive testing with AI-driven analytics to give mobile network and virtual network operators real-time, end-to-end visibility across 4G, 5G, IMS, and cloud-native networks – enabling faster fault isolation, fewer escalations, and lower operational costs.
Most mobile network and virtual network operators believe their current service assurance systems are inadequate for the 5G era and beyond.
expect 5G will be more complex to troubleshoot than its predecessors
Today’s mobile networks are made up of many new moving parts, cloud platforms, private networks, strong encryption, and countless micro connections, all tightly and dynamically linked together, pushing network complexity to its peak.
agree that fault detection and correlation are more difficult in cloud native networks
5G services now span core data centers, edge sites, and multiple clouds, each with its own tools, processes, and data, making it much harder to stitch together and understand the complete picture.
say a lack of cloud‑specific assurance tools force them to rely on manual processes
Users are consuming 2-3x more data after adopting 5G services, and operators attempting to monitor this new data landscape with legacy tools and manual processes have seen sharp increases to OPEX.
say they must monitor performance for each user, device, and end-to-end network slice
Billions of connected endpoints now rely on the network across cities, factories, healthcare, and homes, adding service streams operators must watch in real time at user and service levels.
believe that real‑time network and quality of experience intelligence is needed
When traffic, devices, use cases, deployments, and architectures are all multiplying at once, problems spread in minutes, not hours. Operators can no longer rely on a reactive approach, they need live, actionable feedback to spot and fix issues proactively.

Time to detect

Customer frustration

Churn
Source: Heavy Reading 2019 global CSP survey
Discover mobile assurance that gives mobile network and virtual network operators the ability to see better, fix faster, and spend less. Futureproof service assurance for the 5G era and beyond.
Proactively spot and classify issues as traffic rises.
Use historical patterns to predict and prevent recurring network problems.
Turn time-series data into early warnings on degrading services and capacity.
Correlate signals across domains to pinpoint root cause and automate fixes.
Forecast demand and plan capacity seamlessly so resources are always where they’re needed most.
Expose degradations, bottlenecks, and outliers to continuously tune network performance and costs.
Reduction in manual work. Helps teams use resources more effectively.
improvement
Cloud‑native environment optimizes resources and delivers more performance from existing infrastructure.
improvement
Advanced automation streamlines network upgrades, sharply cutting downtime and manual effort.
faster
Redundancy and resilience keep critical services running as network complexity grows.
higher
Open APIs and adapters connect cleanly to business and support services and partners, improving interoperability and data flow.
more connected

High service installation failure rates drove lost revenue, repeat truck rolls, longer MTTR, and poor customer experience.
Deployed NumoData Mobile Network Assurance solutions to proactively validate and troubleshoot fiber activations.
· Freed up 2-3 FTE capacity for higher value work by avoiding lengthy rework
· Recovered up to $7.7M USD in annual activation revenue.
· Avoided over $300,000 USD in annual compensation payouts.
· Achieved 100% ROI within 12 months
Unnecessary truck rolls and lengthy cross-team processes during Residential gateway (RG)/Customer premises equipment (CPE) service installs were driving up costs and slowing issue resolution.
Implemented next‑generation mobile assurance for 24/7 monitoring, anomaly detection, and on‑demand service turnup validation.
· Reduced mean time to detect (MTTD) by 50%
· Cut mean time to resolve (MTTR) by 30%
· Significant reduction in truck rolls through accurate automated root cause analysis
· Achieved measurable OPEX savings of about 5% with rapid payback
· Improved service quality and experience, decreasing customer churn

Drive superior digital experiences, not just network KPIs.

Modern networks are complex, fragmented, and hard to visualize. Unactionable data together with rising OPEX and CAPEX are commonplace. Legacy tools can't cope and risk in the gap between KPIs and actual customer experience is ever increasing.

AI‑driven correlation and automated diagnosis turn raw signals into clear cases, showing who is impacted, where, and why so teams move straight from detection to resolution.

Ingest and correlate data across mobile networks, cloud, and third‑party systems, giving a single, consistent view of service quality from handset to core, in multivendor 4G-5G-IMS networks.

Our platform plugs into existing OSS/BSS and automation stacks, enabling closed loop use cases and faster rollout of new services without rearchitecting assurance.
Yes, NumoData’s Mobile assurance solution is fully cloud native. The solution is orchestrated by Kubernetes and designed as a coherent collection of microservices that can easily scale horizontally. It features N+1 redundancy with automatic re-instantiation if any microservice instance fails, zero-touch administration, and can be deployed in private cloud, public cloud, or a combination of both.
Yes, the solution is compatible with vTap. The documentation recommends instantiating cloud-native probes on the same site as Network Functions to avoid packet loss introduced by long distance transfer over user datagram protocol (UDP) tunnels used by vTAPs. The platform supports multiple vTap options including network vendor vTaps, third-party vTaps, Tap-As-A-Service (TAAS), and physical tapping functions.
Yes, you can modify Anomaly Detection parameters. The system allows tuning sensitivity parameters to adjust detection thresholds and supports multiple models. The solution uses AI and advanced machine learning to automatically set and dynamically adapt thresholds to network changes, but parameters can be configured to customize the detection sensitivity.
Yes, custom KPI creation is supported. The Operational Analytics application features a highly configurable self-service UI that enables custom dashboard creation and KPI definition. The platform is data-agnostic and allows users to create custom KPIs tailored to their specific monitoring needs.
Yes, there is a comprehensive probe configuration management system. The platform includes a Tracing Policy service that manages real-time configuration changes for Control Plane (CP) and User Plane (UP) capture at the probe level. This includes activation/deactivation of interface capturing, User Plane packet generation for subscriber lists, and adaptive data capture configurations through REST APIs.
Yes, the solution monitors RTP traffic for comprehensive voice quality analysis. The User Plane probe can be deployed in IMS mode specifically to monitor real time transfer protocol/real time transfer configuration protocol (RTP/RTCP) streams from IP media subsystems (IMS) networks.
The RTP monitoring provides extensive voice quality metrics including:·
Active testing injects synthetic traffic into the network to measure performance under controlled conditions – latency, throughput, jitter, and application behavior. Passive monitoring captures and analyses live network traffic without generating additional load. NumoData Mobile Network Assurance combines both: passive monitoring for continuous baseline visibility, active testing for precise fault isolation and service validation.
The platform exposes open REST APIs and a flexible adapter framework that ingests and correlates events from any major vendor across domains. It connects to existing OSS/BSS and automation stacks without requiring rearchitecting of current systems, enabling closed-loop use cases on top of infrastructure already in place.
5G service assurance is the process of monitoring, diagnosing, and maintaining quality across 5G network slices, cloud-native functions, and edge deployments. It requires different tooling from 4G because 5G is cloud-native and highly distributed, uses strong encryption that limits traditional packet analysis, and introduces new architectural elements such as network slicing, NFV, and multi-access edge computing that must each be assured independently and end-to-end.