Data and AI Solutions for Telecommunications

Where they fit the problem, yes. We use the TM Forum Information Framework (SID) as a reference for telecom data models and Open APIs for integrations such as product catalog, ordering, customer and trouble ticket management. Aligning with these standards makes solutions easier to integrate with vendor products and partners. We adapt pragmatically to the systems you already have rather than forcing a full re-architecture.

Yes. We design streaming and batch pipelines that handle high volumes of call detail records, session records, performance counters and alarms, with partitioning, compression and tiered storage to control cost. Architectures are load-tested against your expected volumes. Where data must stay on premises for regulatory or cost reasons, we design hybrid solutions that keep heavy processing close to the data.

Subscriber data, including location and communications metadata, is subject to telecom privacy rules and data protection laws. We apply strict access controls, pseudonymization, data minimization and retention policies, and keep analytics environments separate from operational systems. We work within your lawful interception, data retention and regulatory reporting obligations and involve your privacy team in design decisions.

Network APIs expose operator capabilities, such as verifying a phone number, checking for a recent SIM swap, requesting quality on demand or confirming device location, to developers in a standardized way. Industry initiatives such as GSMA Open Gateway and the CAMARA project define common APIs so developers can reach customers of many operators. We help operators expose and productize these APIs and help enterprises build applications that use them.

A first churn model with a controlled retention campaign typically takes about three to four months, depending on data access. Network anomaly detection or alarm correlation for one domain often reaches a pilot in a similar time frame. Results are measured against control groups or historical baselines so the business impact is clear before scaling.

Yes. Operators typically run multi-vendor environments, and we focus on integrating data and building analytics and applications across them. We work with your vendors’ interfaces and APIs and coordinate with their teams where needed. Our engagement models include dedicated teams that join your delivery organization and managed services for operating data platforms and models.