Telecom & Media
Network anomaly detection, churn prediction, and content recommendation systems.
Subscriber churn and network degradation both erode revenue quietly — no single event triggers alarm, the numbers just get a little worse every month until someone finally builds the retrospective report.
How We Solve It
Subscriber churn and network anomalies both erode revenue quietly until the numbers show up at quarter-end. We build churn prediction, network anomaly detection, and content recommendation systems that plug into your existing OSS/BSS stack and CDN.
What We Build
Churn Prediction
Flags at-risk subscribers early enough for retention offers to work.
Network Anomaly Detection
Surfaces degradation and outage risk before customers report it.
Recommendation Engines
Content and product recommendations tuned to real usage patterns.
Pricing Optimization
Plan and pricing models grounded in actual usage behavior.
How We Deploy It
Discover
We study your workflows, data, and systems to find where AI creates real leverage.
Design
We architect the models, agents, and integrations around your existing stack.
Deploy
The system ships into your environment — on-premises, cloud, or hybrid.
Operate
We monitor, retrain, and scale the solution as your business evolves.
See It In Action
Analyzing 1.2M subscriber accounts and network telemetry across 3 regions:
Common Questions
How long does implementation take?
Churn prediction models are typically live in 4-6 weeks against your existing subscriber data.
Does this integrate with our OSS/BSS stack?
Yes, we build against your existing OSS/BSS and CDN infrastructure.
How is subscriber data protected?
Data stays inside your environment where required, with the same privacy standards as your existing systems.
Want this built for your Telecom operation?
Tell us about your workflows and we'll scope a tailored AI solution.