Digital Trust
Based on user reviews
Rating Distribution
RohanVermaExec
about 1 month ago
After testing Subex for three months in our CSP operations, we've seen real gains in fraud management. Their AI-driven solution caught 95% of SMS GT fraud attempts, saving over $450K compared to our old system. The HyperSense platform's no-code analytics let our team build insights fast without devs. Honestly, the setup had a learning curve, but ROI hit 19X on business assurance. Partner ecosystem tools streamlined settlements from 60 to 15 days. Solid for telecom execs chasing efficiency, though demos are needed upfront.
Albert Schaper(Artificial Intelligence, AI Tools)
Albert Schaper, with expertise in artificial intelligence, has reviewed Subex for Data Analytics and rates it 4.0/5 based on 1 user review. The tool demonstrates particular strength for business executives who need artificial intelligence capabilities in their operations.
Subex is a telecom AI solutions company enabling Communications Service Providers (CSPs) to deliver connected experiences, with expertise in Business Assurance, Fraud Management, and Partner Ecosystem Management.[3][4][5]
Understanding the core functionality and approach of Subex.
Subex meters activity so invoices mirror real adoption instead of seat assumptions. Experiments can scale without renegotiating budgets every quarter. Usage-based billing keeps costs aligned with real adoption.
Explore the powerful features that make Subex stand out.
SDKs (e.g., Python, JavaScript/TypeScript, and JVM (Java/Kotlin/Scala)) help dev teams launch prototypes quickly.
Subex coordinates processes across teams so automation handles repetitive tasks. Automation handles the repetitive work so teams can focus on strategy.
Subex consolidates data to expose actionable insights quickly. Analytics and reporting surface the metrics needed to act quickly.
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Bots, rules, and triggers ensure nothing gets stuck in manual queues. Integrations with Plugin/Integration keep work connected.
Analysts use Subex to assemble data, explore patterns, and publish findings faster. Analytics and reporting surface the metrics needed to act quickly.
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