This is like a smart spam filter for your phone network. It uses AI to spot scam calls and fake SMS/WhatsApp-style messages before they reach customers, and blocks them automatically.
Telco customers are flooded with scam calls and fraudulent messages that lead to financial losses, customer complaints, and regulatory pressure. Manually maintaining block lists and rule-based filters cannot keep up with evolving fraud patterns, especially at national telco scale.
Access to massive, real-time telco network data (call/SMS metadata, traffic patterns) and feedback loops from blocked/confirmed scams creates a proprietary fraud-detection corpus that is hard for new entrants to replicate quickly.
Hybrid
Feature Store
High (Custom Models/Infra)
Real-time inference at carrier scale with strict latency SLAs and the need for continuous model retraining to keep up with evolving scam patterns.
Early Majority
Deployed directly in the operator’s network stack, allowing real-time blocking of calls and messages at scale, rather than just on-device filtering. Likely combines content analysis, behavioral patterns, and historical fraud intelligence tuned to local languages and scam styles in its markets.