Digi-Twin maintains a live graph of devices, services, customers and faults, letting teams inspect the network now, revisit past states and test planned actions safely.
Network simulation running
Use case intelligence
One shared graph links live network state with services, customers and business goals, giving every team the same trusted operational context.
Digitize networks to proactively identify issues and reduce MTTR, service downtime and improve capacity forecasting, resulting in fewer truck rolls and improved field force effectiveness.
Digitize personalized interactions across channels to reduce churn and increase ARPU, NPS and LTV by identifying the right product, price and channel for every customer.
AI-curated sales intelligence and model-based quotation creation for higher win rates, giving sales teams and channel partners AI-generated pricing and configuration with revenue-opportunity insight.
Core capabilities
Four connected capabilities join fragmented network data, track change, map service impact and support safe simulation for people and AI agents.
Network reality
A near real-time, unified view of network, customers and sales, turning data into actionable insights for data-driven decisions.
A reasoning-led AI brain evaluates strategic decisions across network planning, product launches and CX, enabling proactive action before execution.
AI-driven simulations for forecasting, prediction and impact analysis, without disrupting live operations.
Maps entity relationships across network, customer journey and sales engagement into one graph, enabling contextual insight and autonomous reasoning at scale.
AI Ops
The AI Ops pipeline groups raw alarms, finds likely causes, maps service impact and supports earlier action with clear evidence.
Correlates topology and temporal signals, enriches them with graph impact and ranks likely root causes with confidence and a causal chain—turning alarm floods into actionable incidents.
Mines patterns from real incidents and proposes explainable temporal rules. Operators review and approve every rule before it enters the live correlation engine.
Forecasts link utilization and threshold breaches while streaming anomaly scores, exposing capacity and fault risks before they affect service.
Stores valid-time and transaction-time for every network fact. History remains queryable for audits, forensic review and point-in-time reconstruction.
How it works
TelcoCore turns inventory, topology, telemetry, alarms and service data into a live graph for fault detection, impact analysis and safe scenario testing.
In production
One current network model helps operations, planning, sales and care teams make faster decisions from the same trusted facts.
Network
70% reduction in network fault troubleshooting timeA U.S.-based satellite provider enriched live network statistics with location, weather, coverage and telemetry data—accelerating automated root-cause analysis and fault isolation.
Sales
60% faster time to marketA UK telecom operator used Digi-Twin to identify reusable service paths and generate TM Forum SID-aligned CFS/RFS models directly from its product catalog.
Customer
3× engagement rate in campaignsA leading European CSP uses live behavior and consumption signals to build high-impact segments, simulate outcomes and trigger AI-personalized offers across channels.
"Really impressed with NetoAI solutions around network fault prediction and AI-driven closed-loop automation."
Chief Data Officer, European Network Operator
Digi-Twin · Network AI Brain