Churn you see too late
Customer dissatisfaction shows in the data long before it shows in cancellations.
Industries
AI & Engineering for Telecom & Media
Network events, subscriber behavior and billing records sit apart, making service problems and churn difficult to investigate. We build data pipelines and decision tools that connect those signals, alongside controlled modernization of customer platforms.
Talk about your sector
Overview
Telecom operators and media companies run some of the largest data estates in the world, and they compete on experience: network quality, content relevance and service that resolves problems fast. AI and data engineering decide who wins on all three.
We build network and customer analytics, churn and recommendation models, conversational service platforms and the modernization of OSS/BSS and content systems for operators, streaming services, publishers and media platforms.
Data Science & Predictive Modeling: Forecasting, churn, risk and optimization models, delivered by embedded data science teams.
Data Engineering & Platform Modernization: Batch and streaming pipelines, lakehouses and migrations off legacy warehouses.
Generative AI & LLM Applications: LLM applications, RAG, conversational AI and AI features inside the products you already run.
For representative delivery approaches, see Work.
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Challenges
What gets in the way
Network data at scale
Telemetry, tickets and configuration data are huge and disconnected from customer experience.
Content discovery
Audiences cannot find content they would value, and engagement suffers.
Legacy OSS/BSS
Aging systems slow product launches and service changes.
Support volume
Call centers and chat handle repetitive queries at high cost.
Monetizing data responsibly
Insights are valuable but privacy rules are strict.
Bring the use case. We will bring the engineering point of view.
Solutions
What we build
Churn and lifetime value models
Predictive models with actionable drivers integrated into retention workflows.
Explore this serviceNetwork analytics and anomaly detection
Streaming analytics for network health, fault prediction and customer impact.
Explore this serviceRecommendation and personalization
Content and offer recommendation engines for streaming, news and telecom products.
Explore this serviceConversational customer service
Multilingual assistants for support, billing and plan changes with agent handoff.
Explore this serviceOSS/BSS and platform modernization
API layers, incremental re-architecture and cloud migration of core systems.
Explore this serviceMedia content operations with AI
Tagging, summarization, translation and metadata generation for content libraries.
Explore this serviceWhere it fits
Typical use cases
- Proactive churn prevention programs
- Network fault prediction and prioritization
- Content recommendation and personalized discovery
- Multilingual support assistants across channels
- Billing and product catalog modernization
- Automated content metadata and accessibility
FAQ
Questions about Telecom & Media
Yes. Our data engineering practice builds streaming and batch platforms designed for high-volume telemetry and event data with cost control built in.
We design assistants for the languages your customers use, including Indian languages and Arabic, and test with native speakers.
Yes, with rights-aware content handling, human review and clear policies on what generated content is used for.
Yes. We use incremental approaches with API layers and staged migration so services continue uninterrupted.
Related services
Capabilities that apply here
Next step
Ready when you are.
Tell us what you are trying to build and we will come back with a point of view, not a pitch.