Subex

AI solutions for telecom revenue assurance, fraud management, and analytics
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Subex is a telecom AI solutions provider that helps Communications Service Providers (CSPs) protect and grow revenue while improving network and customer outcomes. Founded in 1994, Subex focuses on applying AI and analytics to high-impact operational areas such as Revenue Assurance, Fraud Management, Partner/Interconnect and ecosystem management, and Network Asset and service optimization. Its platforms are designed to identify revenue leakages, detect and prevent evolving fraud patterns, and provide actionable insights across complex telecom environments where data volumes are large and risks change quickly.

Subex supports CSPs as they expand beyond traditional connectivity into broader digital ecosystems. By combining automation, machine learning-driven detection, and telecom domain expertise, the company helps operators move from reactive controls to proactive risk management and business assurance. Typical engagements include enabling near real-time monitoring, improving the accuracy and speed of investigations, reducing false positives in fraud detection, and streamlining cross-team workflows for faster resolution.

In addition to assurance and fraud, Subex offers capabilities that span partner management, network analytics, enterprise cybersecurity, and enterprise billing, helping telecom organizations operate more efficiently and deliver more reliable, connected customer experiences. To evaluate Subex, you can explore its website for product information, resources, and case studies, then contact the company to request a demo or discuss your deployment requirements. more

Review Summary

Features

  • AI-driven telecom analytics and automation
  • Revenue Assurance and leakage detection
  • AI-first Fraud Management and investigation support
  • Partner / ecosystem and interconnect management
  • Network analytics and optimization insights
  • Network asset management support
  • Enterprise cybersecurity capabilities
  • Enterprise billing capabilities

How It’s Used

  • Combating telecom fraud using AI-based detection and prevention
  • Improving business assurance with automated, data-driven controls
  • Reducing revenue leakage to optimize revenue and profitability for CSPs
  • Enhancing customer experience via more reliable, connected service operations
  • Monitoring partner ecosystems to reduce risk and improve settlement accuracy
  • Using network analytics to identify performance issues and optimize assets

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