AI Log Analyzer
Cut RCA time by 80%, slash escalations, and strengthen QoE with explainable AI
See AI Log Analyzer in ActionFrom Logs to Intelligence
Modern networks generate massive volumes of logs across RRC, NAS, MAC, RLC, and PDCP layers. Manual analysis is slow, error-prone, and reactive - delaying anomaly detection, raising OPEX, and hurting QoE. Amantya’s AI Log Analyzer ingests and correlates cross-layer logs, applies advanced ML models, and delivers explainable insights through intuitive dashboards. With modular, OSS/NMS-ready architecture, it transforms raw logs into actionable intelligence - driving faster fixes, lower costs, and stronger user experience. Designed with an explainability-first approach, it ensures every anomaly is not only detected but also understood, trusted, and acted upon.
Real-World Outcomes
80% Faster RCA
Faster service restoration, fewer SLA penalties
Real-Time Anomaly Alerts
Faster detection; reduced downtime risk
35% Fewer Escalations
Lower support costs and faster MTTR
50% Faster Regression
Shorter release cycles, faster feature rollouts
Predictive Outage Alerts
Prevent outages before they impact customers
Carrier-Grade Reliability
Demonstrable SLAs; stronger customer trust
Lower OPEX, Higher QoE
Long-term cost reduction and happier subscribers
Automated Insights
Data-driven ops and continuous performance gains
Key Differentiators
Why Amantya’s AI Log Analyzer?
AI at the Core
Every stage powered by ML/LLM models
Unmatched Speed
From multi-gigabyte logs to insights in minutes
Explainability Built-In
Transparent, trusted, non–black-box insights
Seamless Integration
Easy plug-in with bug tracking tools and operator OSS/NMS
Full-Stack Coverage
RF, RAN, mobility, and QoE metrics
Proactive Detection
Flags failures before they impact QoE
Geo + Temporal Views
Maps peak-hour congestion and location-specific issues
Future-Proof Design
Modular and ready for 5G, 6G, O-RAN, NTN
Enterprise-Scale
Handles terabytes of logs across multi-network portfolio
Amantya’s AI Log Analyzer in Action
AI at Every Step
AI-Powered RCA
Clusters defects and generates session traces in seconds - 80% faster
Cross-Layer Intelligence
Correlates logs across L2/L3 to pinpoint failures
Predictive Insights
Detects anomalies and risk patterns before they impact users
Explainable AI
Provides root-cause context for every anomaly
Insightful Dashboards
Clusters defects and generates session traces in seconds - 80% faster
AI Toolkit
Isolation Forest, SVM, Clustering, Autoencoder, LSTM, Graph Causal Models
Flexible Integration
Easy plug-in for OSS/NMS and bug tracking systems
Scalable & Future-Proof
Linear scale-out for growing logs and evolving networks
Specialized AI Modules
Each core capability is powered by advanced AI models
Pinpoints abnormal behavior in seconds
- KPI Outliers: Detects accessibility, throughput, and retainability issues.
- Silent Degradations: Flags problems before users notice, preventing downtime.
- Faster RCA: Accelerates root-cause analysis with AI-driven traces.
Uncovers patterns hidden deep in raw logs
- Pattern-Based Alerts: Surfaces recurring issues for proactive remediation.
- Clustered Logs: Groups logs into meaningful patterns using DBSCAN/K-Means.
- Deviation Detection: Autoencoders highlight anomalies from normal sequences.
Understands how one failure triggers another
- Sequential Capture: LSTMs track sequential log behavior across sessions.
- Cross-Layer Links: Graph-based causal inference connects failures across layers.
- Predictive Failures: Identifies cascading issues before they escalate
Translates logs into clear, actionable insights
- NLP Tagging: Tags cells, procedures, and anomalies for easy understanding.
- Trend Summaries: Generates summaries and trend insights operators can act on.
- Decision Support: Highlights actionable insights to guide engineers and testers.
Don’t just see anomalies - understand them
- Why It Happened: Each anomaly is paired with its root cause - from retransmissions and missing responses to RF degradations.
- Drill-Down Clarity: Inspect exact log sequences or KPI deviations that triggered the alert.
- Confidence: Transparent AI insights engineers and operators can act on immediately.