Strategic Vertical · Data & Intelligence
From raw data to sovereign decisions.
ATC converts signalling, CDRs and network events into strategic assets — with proprietary architecture, no vendor dependency, in compliance with LGPD, LOPDP and AI Act.
The problem
The operator has data. What's missing is intelligence about it.
Fragmented data
CDRs, signalling, EIR and HLR events live in silos. Nobody connects them. The opportunity is lost.
Invisible fraud
Between 2% and 5% of revenues are lost to undetected fraud. Rule-based systems don't evolve at the pace of the attacker.
Vendor dependency
Proprietary suites from Huawei, Nokia and Ericsson bind the operator. Data stays outside their control, in the manufacturer's infrastructure.
The four practices
Four practices. One integrated ecosystem.
Fraud detection
- ✓IMEI cloning by behavioural fingerprint
- ✓SIM-Box / OTT bypass with Isolation Forest
- ✓International voice bypass fraud
Anomaly detection
- ✓Anomalous usage patterns in real time
- ✓Fraudulent roaming alerts
- ✓Artificial traffic detection (ASR/PDD)
Predictive models
- ✓Post-block prediction with LSTM
- ✓Predictive churn by segment
- ✓4G/5G capacity forecast
Production architecture
Kafka → Flink → Feast (feature store) → Triton Inference Server → MLflow (tracking + registry) · Each model carries embedded XAI explainability · Automatic drift monitoring.
Technical architecture
Technical Data Architecture
Each layer is selectable and interchangeable. Click a layer to see the detail.
Architectural sovereignty
The entire stack operates on the operator's infrastructure or controlled private cloud. No data leaves the territory.
Success story
Tier 1 Operator · Latin America — Comprehensive anti-fraud strategy: from assessment to ROI in 14 months.
Tier 1 operator · Latin America · 12 million subscribers. 74% fraud reduction and $2.1M in recovered revenues in the first year.
Phase 1 — Assessment (weeks 1-4)
Assessment
- ·Cross-referencing of international CDRs, roaming reports and EIR configuration
- ·Result: identified leakage of 3-5% of international revenues
- ·Mapping of signalling flows and fraud vectors
- ·Identification of critical gaps
Phase 2 — Impact modelling (weeks 5-8)
Impact modelling
- ·Financial quantification of annual loss
- ·60-70% attributed to OTT bypass · 25% to SIM-box
- ·Business case approved by investment committee
- ·ROI projection and payback timeline
Phase 3 — PVIA implementation (months 3-6)
PVIA implementation
- ·Deployment of 5 ML models in production
- ·Integration with existing EIR and signalling
- ·First automatic detections in week 2
- ·Operational dashboard go-live
Phase 4 — Sustained results (month 6+)
Sustained results
- ·-74% fraud reduction
- ·$2.1M/year in recovered revenues
- ·Investment payback: 14 months
- ·Continuous model drift monitoring
Next step
Does your operator need to move from operational
data to business decisions?
Our team assesses your current data architecture, identifies the highest-return opportunities and designs the roadmap to a data-driven operator — in 4G, 5G or hybrid environments.
AI & Data Management for LATAM Telecom Operators