Custom Telecom AI Models
Train network models on your telemetry data, customer records, and operational history. Domain-specific fine-tuning for network optimization, churn prediction, and service operations.
Telecommunications Challenges
Network complexity and scale
Real-time optimization requirements
Customer churn in competitive markets
Legacy BSS/OSS integration
5G and edge deployment
How Custom Model Training & Distillation Solves Telecommunications Challenges
Training domain models on curated corpora, applying NeMo and LoRA distillation, and wiring evaluation harnesses so accuracy stays high while latency and spend drop.
Domain-Specific Fine-Tuning
Train foundation models on your curated corpora for superior performance on specialized tasks.
Model Distillation
Compress large models into efficient variants using NeMo microservices and LoRA techniques.
Evaluation Harnesses
Automated testing frameworks measuring accuracy, latency, toxicity, and task-specific metrics.
Red Team Testing
Adversarial testing, jailbreak detection, and safety validation before production deployment.
Use Cases
- ✓Network optimization models from your traffic data
- ✓Churn prediction models trained on your subscriber base
- ✓Fault diagnosis models from your incident history
- ✓Customer service models for your product portfolio
- ✓Fraud detection models from your transaction patterns
Key Benefits
Superior network optimization for your topology
Models calibrated to your subscriber behavior
Reduced inference costs for real-time operations
Continuous improvement from network telemetry
Faster model iteration for new service launches
Technology Stack
Ready to Deploy Custom Model Training & Distillation for Telecommunications?
Let's discuss how our custom model training & distillation capabilities can address your telecommunications challenges.
Get in Touch