Naboo IntelligenceNabooIntelligence
Telecommunications network

Industry · Telco

Smart network,
operational decisions.

For telecommunications operators handling complex networks, fraud, churn and contractual SLAs over very large data volumes.

The problem · Telco

You detect the network anomaly once the customer has already left for a competitor.

  • 01Fragmentation

    NOC, SOC and commercial teams operate on the same event without seeing it the same way.

  • 02Manual triage

    Fraud is identified once the incident has already closed the billing cycle.

  • 03Late decisions

    SLAs are disputed without contextualized operational evidence.

70%

of the cost of a critical incident builds up in the first 2 hours.

62%

of operational time is spent querying systems before being able to decide.

more correlated events are detected when data is cross-referenced in real time.

Estimates based on incident-response benchmarks · Internal analysis 2025–2026

Network, commercial and fraud data live in silos. Naboo cross-references them to detect fraud, anticipate outages and surface evidence when an SLA is at stake.

Naboo · in Telco

How it works in your operation.

Network, commercial and fraud data live in silos. Naboo cross-references them to detect fraud, anticipate outages and surface evidence when an SLA is at stake.

  • Fraud detection (SIM swap, bypass, subscription)
  • Integrated NOC/SOC operations
  • Churn and retention intelligence
  • Predictive network maintenance

naboo://oráculo

live
Oráculo·Prediction
78Score
+12 / hour

Evolution · past 6h + 3h forecast

Local model · 84% confidenceSigned · Escudo

Case · anonymized

What changed once it was integrated.

Context

LATAM telco operator with NOC, SOC and anti-fraud running on separate stacks.

Process

Inbox + Oráculo connect network, commercial and fraud with a single event-scoring model.

Result

−40% MTTR on critical incidents and fraud detection before cycle close.

Reference KPI

What moves.

01

−40%

MTTR on critical network incidents

Reduction in mean time to resolution measured on high-priority incidents within a quarterly window.

02

+3 points

Churn reduction through anticipation

Retention models on intervened cohorts vs. control cohorts over 90 days.

03

Real time

Fraud detection in the network flow

Local inference on signaling traffic before the CDR closes.

Next step

Demo for Telco.

Telco demo: 45 min on synthetic network and commercial data.