Network Digital Twin platform
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DigiTwin Use Cases
DigiTwin is designed to bring clarity, foresight, and control to complex operations—enabling autonomous network intelligence that powers accurate prediction, strategic planning, and measurable outcomes.
Intelligent Network Management
Digitize networks to proactively identify specific issues and reduce MTTR, service downtime, and improve network capacity forecasting, resulting in impact automation, fewer truck rolls and improved field force effectiveness.
Transforming Customer Engagement
Digitize personalized interactions through digital channels to personalize messaging & experiences while reducing churn, increasing ARPU, NPS and LTV by identifying right product, price and channel for communication.
Intelligent CPQ Decisioning
Deploy AI-curated sales intelligence and model-based quotation creation for increased win-rate. Provide sales teams and channel partners with AI-generated winning configurations and pricing with insights on revenue opportunity, product mix, customer potential.
Intelligent Network Management
Digitize networks to proactively identify specific issues and reduce MTTR, service downtime, and improve network capacity forecasting, resulting in impact automation, fewer truck rolls and improved field force effectiveness.
Transforming Customer Engagement
Digitize personalized interactions through digital channels to personalize messaging & experiences while reducing churn, increasing ARPU, NPS and LTV by identifying right product, price and channel for communication.
Intelligent CPQ Decisioning
Deploy AI-curated sales intelligence and model-based quotation creation for increased win-rate. Provide sales teams and channel partners with AI-generated winning configurations and pricing with insights on revenue opportunity, product mix, customer potential.
Core Capabilities of Digi Twin
Unified View
Delivers a near real-time, unified view of network, customers and sales—turning data into actionable insights for intelligent data-driven decisions.
What-If Analysis
Uses reasoning-led AI Brain to evaluate strategic decisions, spanning network planning, product launches, and CX, enabling proactive actions before execution.
Scenario Simulation
Executes AI-driven simulations for forecasting, predictions, and impact analysis without disrupting live operations.
Knowledge Graph
Maps entity relationships for network, customer journey and sales engagements into a unified graph, enabling contextual insights and autonomous reasoning at scale.
Network Digi-Twin
DigiTwin, powered by NetoAI TelcoCore, creates a near real-time digital replica of telecom networks as Knowledge Graph. Its integrated AI brain enables proactive fault detection, live visualization, and scenario simulations for intelligent planning and data-driven decision-making, leading to resilient and efficient networks.
Step 1
Dynamic Asset Mapping
DigiTwin maintains a comprehensive, near real-time representation of all network assets, including routers, switches, ports, logical interfaces, and service endpoints. This dynamic asset view eliminates manual audits and ensures consistent, vendor-agnostic visibility across the infrastructure.
Step 2
Network Knowledge Graph
Using AI-driven modeling, DigiTwin structures the network into a dynamic Knowledge Graph, linking devices, services, and environmental factors. It integrates fault signals with contextual data for real-time detection, impact analysis, and intelligent remediation through deep semantic understanding and machine reasoning.
Step 3
Topology Visualization
DigiTwin offers a near real-time topology view from country to site level to explore physical and logical connections, trace dependencies, and gain device-level insights. This interface links network telemetry data, services and the customers to provide a single plane of glass.
Step 4
Real-Time Network Intelligence Capture
DigiTwin standardizes real-time network data into actionable intelligence, powering ML-driven predictions and forecasts enabling closed-loop automation for proactive, intelligent decisions aligned with the live network—at scale.
Step 5
Agentic Simulation & Planning
DigiTwin’s Agentic View analyses the historical trends and current view of the network to enable proactive planning and accelerate decision-making without disrupting the live environment. It’s AI-driven reasoning capability uses real-time context to assess impact, recommend actions, and enable forecasting and prediction with atmost accuracy.
Case Studies
AI-Powered Product Configuration (CFS-RFS)
A UK telecom operator used DigiTwin to analyze product catalogs, identify reusable service paths, and auto-generate TM Forum SID–aligned CFS/RFS models—enabling automated design generation and service modeling. This established reusability, standardization, and AI-driven configurations across the product lifecycle.
Accelerated Network Fault Resolution
For a U.S.-based satellite provider, NetoAI deployed a AI Brain solution integrating real-time network stats into a dynamic Knowledge Graph enriched with location, weather, coverage, and telemetry data—enabling fast, automated root cause analysis, reducing fault isolation time, and enhancing service reliability.
Data-driven Customer Management
A leading Europe CSP uses DigiTwin for real-time, usage-based campaign management—analyzing live behavior, segmenting by consumption, and triggering AI-personalized offers. Marketers can simulate outcomes, target high-impact segments, and automate outreach across all channels for maximum ROI.
Top Resources for You
Really impressed with NetoAI solutions around Network Faults Prediction and AI Driven Closed Loop Automation