Products • Correlation & RCA
Stop the Noise. Get to the “Why”
Selector’s AI-powered correlation and root cause analysis (RCA) engine delivers always-on intelligence to detect, diagnose, and resolve issues in real time – without manual investigation.
Correlation That Never Sleeps
Selector continuously ingests different types of operational data such as logs, metrics, and events and correlates them continuously using AI. No rule writing or static thresholds required.
Temporal and contextual correlation across telemetry
Real-time recommender and causality models
Full-stack correlation from device health to application latency
Go From Symptoms to Solutions, Instantly
Understand not just what happened, but why. Selector enriches raw operational telemetry with topology, configuration, and behavioral data to reveal root causes in plain language.
Correlation across metrics, config, topology, logs, and events
Contextual insights across device, service, infrastructure, and application domains
Config drift detection and historical pattern awareness
Turn Down the Noise, Turn Up the Insights
Say goodbye to alert storms. Selector filters, deduplicates, and correlates alerts to reduce noise, highlight what matters, and focus teams on the true root cause.
Identify and suppress secondary alerts tied to downstream effects – for example, surface the root link-down event behind packet drops and consolidate it into a single RCA ticket
Suppress alerts during maintenance windows to avoid false noise and distractions
Deduplicate repeated alerts using pattern recognition and surface results across the UI, API, and chat integrations
Topology That Tells The Full Story
Easy visualization to investigate issues across your entire environment with intelligent, topology-based visualizations that show ripple effects and upstream/downstream relationships.
Visual correlation across devices, locations, and services
Service-layer topology views with contextual event overlay
Works across hybrid, WAN, and wireless environments
Ask Your Network Anything
Use Selector Copilot to ask questions like “What caused the service degradation in Chicago?” and receive an AI-generated root cause answer with visual evidence.
Natural language RCA summaries and chat integration (Slack, MS Teams)
Interactive queries for RCA, alert history, and remediation steps
Built-in summarization and deep dive explainability
What Makes Selector Different? Here’s the Shortlist
| Capability | Traditional Tools | Selector |
|---|---|---|
| Correlation | Rule-based or manual | AI-driven, continuous recommender + association models |
| Root Cause Analysis | Fragmented across tools | Unified, enriched, and contextual RCA engine |
| Alert Management | Manual tuning | Built-in deduplication and suppression |
| Topology | Static Maps | Dynamic, cross-domain topology awareness |
| Usability | Technical, complex UIs | Conversational, explainable Copilot interface |
| Stack Coverage | Siloed Data | Full-stack visibility from layer 1 to layer 7 |
Trusted by Ops Teams Worldwide
Absolutely fantastic company. Their approach to intelligent network monitoring and analytics is unique and refreshing. I can’t recommend them highly enough. I honestly get excited by weekly catch-up calls because of the possibilities.
John Neiberger
Principal Engineer, Comcast
Before Selector, we lacked the end-to-end visibility needed to see what was happening across our applications, infrastructure, and network. Now we have a consolidated view of all critical data sources allowing us to proactively detect and resolve issues faster to keep our services running and our customers happy.
David Iannone
VP of IT Operations, TracFone
Our goal is to keep service up – always. With Selector, we are constantly monitoring availability and performance. If an abnormal condition arises, we take immediate action.
Ammar Musheer
Senior Manager of Infrastructure & Software Cloud Delivery, Bell
Selector is a next-generation tool which provides comprehensive visibility and automation capabilities to integrate with other platforms and products. This reduces the burden on our operations team, allowing us to improve incident and change management processes as well as detection and identification of network issues.
NOC Service Engineer
Digital Infrastructure Company
Selector has significantly enhanced the operations team workflow by improving alert visibility, correlating alerts, and assigning value to them. Also, the implementation of auto-incidents has been pivotal in reducing missed incidents and helping prioritize those that occur most frequently, enabling us to achieve faster response times.
Network Engineer
Digital Infrastructure Company
Selector has provided our operations team with valuable insights and analytics. By analyzing vast amounts of data, Selector can identify patterns, anomalies, and trends, enabling operators to make data-driven decisions and optimize their activities. This has led to improved resource allocation, better capacity planning, and enhanced overall performance
NOC Service Engineering Supervisor
Digital Infrastructure Company
Selector has played a crucial role in automating and streamlining our operations. By leveraging advanced learning algorithms, Selector can proactively detect and resolve incidents, reducing downtime and minimizing the impact on operations. This has resulted in improved system availability and increased productivity.
NOC Service Engineering Supervisor
Digital Infrastructure Company
Selector has revolutionized our operations and greatly enhanced the efficiency of our team. With the implementation of Selector, operators have experienced significant improvements across network monitoring and incident management.
NOC Service Engineering Supervisor
Digital Infrastructure Company
As a next-generation observability tool, Selector Al is designed to work seamlessly across environments and industries, showcasing the transformative power of Al to elevate network resilience, minimize failures, and mitigate human error.
Senior Service Reliability Engineer
Digital Infrastructure Company
Selector provides proactive isolation event detection within the routing domain by correlating a range of packet loss metrics, automatically alerting the on-call engineer with precise location data and actionable insights to expedite troubleshooting. This intelligent approach has significantly reduced Mean Time to Repair (MTTR), enabling engineers to zero in on critical metrics that directly enhance customer experience.
Senior Service Reliability Engineer
Digital Infrastructure Company
Manual monitoring relies on engineers spotting alerts before raising incidents. If an engineer fails to notice an alert, there is a high chance the incident will be missed, along with the opportunity to troubleshoot and restore it promptly. Selector correlation ensures that no incidents are missed.
Senior NOC Service Engineer
Digital Infrastructure Company
Selector has been a significant advancement in our network monitoring, marking a major milestone in automation. Prior to Selector, the incident KPI target was a challenge for our operations team. However, with Selector’s correlation capabilities, the time taken to address incidents has been significantly reduced compared to manual processes.
Senior NOC Service Engineer
Digital Infrastructure Company
