In telecommunications, hyperpersonalisation is no longer optional — it is expected. Millions of subscribers, billions of daily events, and dozens of touchpoints generate immense and complex data. The challenge is not collecting this data; it is transforming it into actionable intelligence that drives measurable business outcomes.

At Pelatro, we have spent over a decade building the mViva Revenue Acceleration Platform™, enabling telecom operators to sense customer context, orchestrate next-best actions, and execute intelligent engagement at scale.

From Data Chaos to Contextual Intelligence

Telco data comes from diverse sources — behavioural signals, demographics, spend patterns, interactions, conversations, and location — arriving at different velocities and latencies. Pelatro captures and preserves context across multiple granularities: subscriber, cell site, web page, product, or any relevant entity.

Context Aware Data Objects (CADO) aggregate local context without prematurely fusing raw data and inferred meaning. This separation allows both an inside-out view (subscriber history and behaviour) and an outside-in view (network and environmental factors), enabling real-time hyperpersonalisation that adapts as context evolves.

Highlights:

Intelligent Data Fabric (IDF) sits atop CADO, distilling context, trends, and differentials, and connecting with machine learning layers. IDF powers autonomous agents for upselling, campaign optimisation, and experimentation. Where CADO is crude oil, IDF is gasoline: it converts rich potential into actionable energy that drives business outcomes.

Highlights:
Layered Capabilities for Scalable Execution

Pelatro’s micro-capability blocks — event processing, statistical rule engines, hierarchical aggregation, and adaptive accumulation — operate at scale and support four core products: lead management, CVM, loyalty, and data monetization. They ensure insights translate into reliable action across channels.

The mViva Revenue Acceleration Platform™ has evolved from an introvert into a collaborative system through CDP-led orchestration. Data, intelligence, and behavioural signals can be programmatically subscribed to by downstream systems, while campaigns designed externally leverage Pelatro for execution and feedback.

Highlights:
Federated Intelligence for Global Telco Groups

Multi-country telco groups face local data restrictions while requiring group-level oversight. Pelatro addresses this with federated CVM: each operator runs a local instance, keeping data compliant and autonomous, while anonymized, aggregated insights flow to a federal layer.

Group CMOs can monitor performance, assign budgets, and guide strategy without compromising local compliance.

Highlights:
Responsible Scale and Ambition

Processing sensitive subscriber data carries immense responsibility. Pelatro adheres to GDPR, consent frameworks, and industry-standard security practices.
Privacy and security are foundational, not differentiators, but non-negotiable pillars of the mViva Revenue Acceleration Platform™.


At the same time, Pelatro is a purpose-driven company with a bold vision — aiming for escape velocity rather than incremental existence. Innovations are pragmatic, grounded, and designed to deliver transformational outcomes at scale.

Highlights:
Delivering Business Outcomes through Technology

Hyperpersonalisation is a business imperative. The mViva Revenue Acceleration Platform™ combines massive-scale data processing, context-preserving constructs, intelligence orchestration, and actionable micro-capabilities to empower telcos to:

The mViva Revenue Acceleration Platform™ balances technical robustness with business relevance: intelligence that is precise, decisions that are accountable, and experiences that resonate across every touchpoint.

Highlights:

Ready to translate customer intelligence into measurable revenue growth?

Discover how the mViva Revenue Acceleration Platform™ can help telecom operators unlock the full potential of hyperpersonalisation. 

Get in touch with us to learn more.

Meet the Author

Pramod KP

Chief Technology Officer, Pelatro

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