AI for telecom operators at scale
National operators use AI Router to consolidate AI scenarios under a single API. Customer support, anti-fraud, CDR analytics, and network ops — with transparent cost at billions of requests per month.
Use cases in production
Four scenarios where AI Router delivers measurable ROI for a telecom operator.
Support chat automation
First-line chatbot, ticket classification, suggested replies for agents. Multilingual support with human fallback.
Call and SMS fraud scoring
LLM augmentation on top of rules: usage-pattern analysis, complaint-base matching, social-engineering detection.
CDR analytics and customer insights
Semantic clustering of inquiries, churn prediction, cross-sell signals from usage history.
Network anomaly detection
LLM-augmented metrics from NetworkOps: automatic alert classification, on-call incident summaries.
Engineered for telecom scale
What we do to sustain billions of requests without latency regressions.
Auto-failover
Health polling every 30 seconds. Any provider degradation triggers automatic reroute to the fallback path — no code change on the client.
Per-key rate limits
Granular limits on tokens, RPS, and cost per key. Protects against runaway production scenarios.
Multiplexer-level streaming
SSE multiplexer tuned for long completions. p99 streaming latency below industry-typical.
Regional routing
We pick the closest upstream to your perimeter to minimize RTT — especially for real-time scenarios.
Start a telco pilot
We negotiate a volume contract, reserve dedicated capacity for critical routes, and run load tests before production.