QoEScope
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🔊 Call Quality Intelligence

Predict VoIP QoE degradation before users notice.

QoEScope monitors live VoIP traffic and uses ML to forecast jitter, packet loss, and latency shifts—then pinpoints root cause and recommends routing actions to prevent churn and SLA violations.

Predictive QoE alerts Root cause isolation Routing optimization NOC-ready workflows
Predictive Health
next 90s forecast
QoE Risk
Low
Jitter
8 ms
Loss
0.2%
Auto-detects emerging degradation and suggests safe reroutes before MOS drops.

🧩 System Architecture

From packets to predictions in real time.

QoEScope ingests RTP/RTCP and SIP telemetry, builds session-level features, runs predictive models, and publishes alerts and routing recommendations to your NOC stack.

Ingest
RTP/RTCP metrics, SIP signaling, edge probes, SBC exports, and carrier handoff signals.
Feature Engine
Session normalization, time-window aggregates, trend deltas, and path fingerprints.
ML Inference
Forecast jitter/loss/latency and compute QoE risk scores per route, region, and tenant.
Outputs
  • Predictive alerts before MOS drop
  • Route-level degradation heatmaps
  • Recommended reroute actions
  • Post-incident explainability
Integrations
  • Webhooks + REST API
  • PagerDuty / OpsGenie (via webhooks)
  • Grafana / Kibana overlays
  • Data export to S3 / BigQuery (optional)

📈 Predictive QoE Analytics

Forecast the signals that break calls.

Models learn normal behavior per region, carrier, and endpoint class—then flag anomalies early to keep voice quality stable at scale.

Jitter Forecasting
Detect micro-spikes and instability before they become audible artifacts.
Packet Loss Prediction
Early warning for congestion and path degradation with route-level attribution.
Latency & RTT Modeling
Spot rising RTT trends and delay bursts that cause talk-over and choppiness.
Simple outcome: fewer tickets, fewer SLA breaches
predictive > reactive monitoring
QoEScope prioritizes what matters operationally: which routes are drifting, what users will feel next, and what to change to stop it.

🧠 Root Cause Intelligence

Know if it’s ISP, endpoint, or routing — instantly.

QoEScope correlates QoE signals with path fingerprints, device classes, and carrier handoffs to isolate the source and cut MTTR.

ISP & Carrier Attribution
Identify unstable upstreams and peering points impacting specific regions or tenants.
Endpoint Classification
Separate Wi-Fi/device issues from network path issues to avoid false escalations.
Routing Path Fingerprints
Detect repeated bad paths and recurring interconnect degradation patterns.
Routing Recommendations
  • Prefer stable carriers during peak congestion
  • Reroute around high-loss interconnects
  • Balance cost vs QoE risk thresholds
Explainability (for NOC)
  • What changed, where, and why
  • Confidence score per diagnosis
  • Impact estimate (users / minutes / tenants)

⚡ Real-Time Operations

Built for NOC workflows.

Dashboards, alerts, and APIs designed for teams operating voice infrastructure at scale—fast triage, clear actions, and minimal noise.

Live Dashboards
Route health, regional QoE, tenant impact, and trend views tuned for quick scanning.
Predictive Alerts
Notify on rising risk before end-user impact using configurable thresholds and windows.
API + Webhooks
Trigger reroutes, open incidents, or enrich your observability stack with QoE intelligence.
Ready for a proof-of-value?
Deploy with a subset of routes and compare QoE risk vs incidents.
Request Demo

🛡️ Trust, Security & Contact

Enterprise-grade by design.

Privacy-first telemetry handling, secure operations, and clear controls—built for telecom environments and strict SLAs.

Security posture
  • Data minimization (metrics-first, content never required)
  • Role-based access controls
  • Audit logs and exportable reports
  • Encryption in transit and at rest
Note: Copy is illustrative—align with your real compliance (SOC 2, ISO 27001, GDPR, etc.).
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© QoEScope
Predict • Diagnose • Optimize