Telecom challenges we solve
Most telecom software requests reach us in one of four shapes: a vendor BSS/OSS platform that has stopped scaling, a multi-brand portfolio that cannot deliver a unified customer view, a billing or CDR pipeline that cannot keep up with traffic, or an analytics layer that cannot translate operational data into decisions. Bluepes engineers work inside existing carrier stacks rather than around them — extending vendor platforms, not replacing them.
Vendor BSS/OSS platform hitting configuration limits
Carriers running Amdocs, Netcracker, CSG, or QVantel typically hit the platform ceiling on catalog logic, event models, or release cadence well before they hit the network ceiling. Bluepes builds custom Java and Scala extensions around the vendor platform — keeping the core stable while delivering the differentiating logic in code the team controls.
Multiple brands, no unified customer view
Post-M&A telecom groups often run separate CRMs, catalogs, and billing logic per brand. Cross-selling becomes manual, customer support cannot see the full account, and every product launch requires per-brand integration work. Bluepes delivered exactly this unification for MasMovil Group — multi-brand architecture under a single customer view across one of Spain's largest carriers.
Billing or CDR pipeline cannot keep up with traffic
When CDR volume grows or rating logic complexity increases, batch billing windows start missing SLAs and real-time charging starts dropping events. The fix is rarely «more compute» — it is usually backpressure handling, idempotent integration patterns, and schema discipline at the event-stream level. Scala and Java expertise from the MasMovil engagement applies directly.
Operational data exists, but cannot drive decisions
Most operators have CDR, billing, and CRM data — but no consistent ARPU, churn, or fraud view across them. Power BI or Amazon QuickSight on top of fragmented sources reproduces the fragmentation. Bluepes builds the integration layer first — clean, governed CDR and billing feeds — then the analytics on top, including AI use cases where the data readiness justifies them.
Telecom Software Solutions: Custom vs. Generic Solutions
Generic SaaS and legacy BSS/OSS stacks rarely fit a carrier's specific billing logic, brand structure, or lawful-interception requirements. Custom development gives you control over data models, integration contracts, and release cadence — at the cost of a partner who can deliver and support it. The table below compares the three approaches on the dimensions that matter for procurement decisions.
Telecom Software Solutions We Develop
Telecom software development at Bluepes covers four areas — OSS/BSS extensions and integration, billing and CDR processing at carrier scale, customer-facing applications, and AI-driven analytics on operator data. Each area is delivered by engineers with real telecom platform experience, not generic web developers.
OSS/BSS integration and modernization
Enterprise telecom communication platforms
How we work with telecom operators
Step 1
Understand the platform and its constraints
We map the existing OSS/BSS stack, the vendor platforms in play (Amdocs, Netcracker, QVantel), the integration contracts, and the compliance scope before proposing anything.
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Step 2
Design around the vendor platform
We keep the carrier's core stable. Differentiating logic goes into Java and Scala services the team controls, with clean integration boundaries to the platform.
Step 3
Build with backpressure and schema discipline
CDR and billing pipelines get idempotent integration patterns and event-stream schema control, so throughput holds as traffic and rating complexity grow.
Step 4
Integrate inside the security perimeter
We work within GDPR, PCI-DSS, and the carrier's access model, delivered alongside the in-house team rather than as a separate vendor track.
Step 5
Run, observe, and scale
Observability on the services that matter keeps provisioning and billing stable under real load, and leaves the analytics and AI layer with clean data to build on.
AI in telecom, built on data you can trust
AI works in telecom where data volume and response time make manual review impossible — fraud on CDR streams, churn on billing and usage, anomalies in network KPIs. None of it replaces OSS/BSS; it plugs into existing systems through event streams and APIs. The return comes from cutting manual operations load, and it depends entirely on how clean the underlying data is. We build that data foundation first, then the models that sit on it.
Fraud and anomaly detection on CDR streams
Rule-based checks miss patterns that shift week to week. Models trained on CDR and usage data flag anomalies — SIM-box fraud, revenue leakage, unusual roaming — as events arrive, feeding the existing rules engine rather than replacing it.
Churn prediction on billing and usage data
Churn signals sit across billing, usage, and care data. A model reads them together and scores accounts before they lapse, so retention teams work from a ranked list instead of a lagging report.
Models that plug into the stack
AI connects to carrier systems through event streams and APIs, runs inside the existing security perimeter, and returns scores the operations team already knows how to use, with no rip-and-replace of the core platform.
Roles we can cover
Build your dream team with Bluepes's top junior to architect-level talents
Projects
Healthcare Platform Project Development
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Software Product Development for MasMovil Group
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We have completed an array of projects, each of them unique from the perspective of business logic and generally common in terms of technologies, and vice versa. Basically, there’s no possibility (and we mean no, zero, null, non c'è) chances that we’ll start a new project out of blue (pun intended).
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