Telecom

AI that keeps networks up, costs down, and customers satisfied.

Network ops AI, customer service voice.

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Telecom AI operates at massive scale with low tolerance for false positives in network operations and high expectations for customer service quality. We've built network ops AI and customer service automation for carriers and MVNOs that meet the reliability bar this industry demands.

Why Evolve Edge

Network operations depth Our team understands RAN, core network, and OSS/BSS architecture. We don't treat the network as a black box — we build AI that understands what's actually failing and why.

Carrier-grade reliability Telecom AI must be more reliable than the systems it monitors. Our AI systems are built with the redundancy, monitoring, and failover that carrier operations require.

High-volume customer service AI We've built voice and chat AI for telecom customer service at millions-of-subscriber scale — where the ROI of deflection compounds quickly.

Evolve Edge team at work

Use cases

Network anomaly detection

Real-time detection of network degradation, congestion, and equipment failures — with automated root cause analysis and ticket creation.

Predictive network maintenance

Equipment failure prediction using telemetry, utilization, and environmental data — scheduling maintenance before the outage, not after.

Customer service voice AI

AI voice agents handling billing inquiries, plan changes, technical support triage, and outage status — deflecting 40%+ of inbound volume.

Churn prediction & retention

Customer churn risk scoring with intervention recommendations and automated outreach for high-value at-risk subscribers.

Network capacity planning AI

Traffic growth forecasting and capacity expansion recommendations based on real usage patterns, not conservative headroom rules.

Fraud detection

SIM swap fraud, toll fraud, and subscription fraud detection using behavioral and network signals in real time.

Client perspective

“Tier-1 deflection rate hit 44% in month two. Our agents handle the complex cases they were hired for — the AI handles the rest.”

Nina OseiSVP Customer Operations · ClearLine Wireless

FAQ

Can your network AI integrate with our OSS/BSS systems?
Yes. We've integrated with Nokia NetAct, Ericsson OSS, IBM Netcool, and custom OSS/BSS platforms. Standard TMF Open APIs and vendor-specific APIs both supported.
How do you handle the scale of telecom network telemetry?
Streaming data architectures (Kafka, Flink) designed for millions of events per second. We've handled telemetry from networks with 10M+ subscribers.
What's your approach to false positives in network anomaly detection?
Configurable thresholds, severity-ranked alerts with confidence scores, and automated correlation to reduce alert noise before it reaches the NOC. Fewer, better alerts.

Telecom experts

Let's scope your project

We'll bring operational AI patterns from similar deployments and give you a concrete timeline on the first call.