Transforming Telecom with AI & Data Infrastructure




Enable faster insights, predictive maintenance, and AI-driven customer experience optimization for the 5G and IoT era.
Powering Decision Intelligence for Top Enterprises



Business Challenges
Massive Data Overload (Data Volume)
Legacy systems are overwhelmed by huge volumes of data from millions of IoT devices, Call Data Records (CDRs), and network traffic logs.
High Network Downtime & Maintenance Cost
Reactive, rather than proactive, maintenance leads to frequent network downtime and expensive repair costs.
High Customer Churn
Poor customer experience (CX) due to network or service issues causes high rates of customers switching providers.
Complex Legacy Integration
Integrating various legacy systems (Billing, Operational Support Systems/OSS, Business Support Systems/BSS) is complex and results in slow operations.
What We Provide

Core (Data Engine):
Secure data governance for customer intelligence and data integration.

Mind (AI/ML Agents):
AI for demand forecasting, anomaly detection in traffic, churn prediction

Flow (Business Backbone):
Workflow modules for billing, compliance, service assurance

Cloud (Infra Foundation):
Big data infra + scalable AI/ML pipelines for telco workloads
Value Delivered
Unlock New Revenue Streams:
Safely monetize network and location data as a high-margin alternative data product, directly increasing ARPU (Average Revenue Per User)
Accelerate Digital Growth:
Leveraging scalable cloud foundation and automated provisioning
Reduce Customer Churn:
Proactively identify and target at-risk customers using predictive insights, resulting in higher retention ROI
Enhance Network Quality:
Use real-time anomaly detection to pinpoint services issues before they affect the customer base, improving overall service quality

Telecom Services Case Studies
Data Monetization Service:
Implemented compliant data fabric to anonymize and package mobility data, enabling the client to launch a new external data product that generated 15% new annual revenue within the first year

Predictive Churn Prevention:
Deployed AI model, which improved churn prediction accuracy by 25%, leading to a 10% reduction in high-value customer loss

IoT Service Launch Acceleration:
Utilized scalable infrastructure to rapidly integrate a new enterprise IoT vertical, achieving go-live 6 months ahead of schedule compared to internal development estimates.









