Telecom analytics · Subex Limited

Subex

AI-powered fraud management and revenue-assurance analytics for telecom operators, covering fraud detection, billing leakage and partner settlements.

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Subex focuses specifically on the revenue-protection side of telecom operations: fraud management (subscription, roaming, SIM-box, identity and payment fraud, detected through real-time behavioral scoring), business assurance (finding and closing revenue and margin leakage across billing and financial reconciliation), and partner ecosystem management for the complex B2B2X settlements telecoms run with roaming partners, MVNOs and content providers. This is a narrower remit than Amdocs' full BSS/OSS suite or NETSCOUT's network-wide visibility; Subex plugs into an operator's existing billing, mediation and network systems specifically to catch the fraud and leakage those systems don't flag on their own, positioning it as a specialist complement rather than a platform replacement.

At a glance

Vendor Subex Limited
Pricing model Quote only
Free tier No
Deployment Cloud, Self-hosted
Open source No
Best for Telecom operators needing dedicated fraud detection and revenue-leakage analytics alongside their existing billing systems.

Pricing

Enterprise licensing by operator size and modules; not published.

Pricing has not been verified yet — see the vendor's site.

Features

  • Real-time fraud detection (subscription, roaming, SIM-box, identity)
  • Revenue and margin leakage detection (business assurance)
  • Automated billing and financial reconciliation
  • Partner settlement and dispute management for B2B2X relationships
  • Behavioral intelligence and anomaly scoring
  • Digital orchestration for partner onboarding

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

Amdocs Telecom BSS/OSS and customer-experience software provider whose analytics span billing, network operations and AI-driven service automation. NETSCOUT Network performance and security analytics platform that captures packet-level traffic data for service assurance, DDoS defense and AIOps. Opensignal Independent mobile network experience analytics built from crowdsourced measurements collected through Opensignal's consumer apps.

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Terms to know

Anomaly detection Identifying data points or patterns that deviate significantly from expected or normal behavior. Predictive analytics Analytics that uses historical data and statistical models to estimate what is likely to happen next. Fraud detection Identifying transactions, claims, or behavior that are likely fraudulent, using rules, statistics, or machine learning.

Related guides

How to choose a telecom analytics platform Telecom analytics splits by what you measure and how — network instrumentation, crowdsourced experience data, or revenue and fraud analytics.