Executive summary
Modern IT environments are drowning in complexity. Teams spend countless hours sifting through thousands of alerts, struggling with blind spots across their infrastructure, and manually troubleshooting issues that should be automated. The average enterprise monitors their environment through 100+ disconnected dashboards, with no unified view of what’s actually happening.
The cost of this chaos is staggering. According to Gartner (2024), the average cost of downtime is $5,600 per minute. Yet organizations continue to rely on fragmented tools that can’t correlate issues across the full technology stack.
Selector transforms this reactive chaos into proactive clarity. By leveraging AI-powered correlation and machine learning, Selector reduces millions of raw signals into a handful of incidents that actually matter. Selector customers see up to 98% reduction in alert noise, with mean time to resolution (MTTR) dropping from hours to minutes.
Industry Impact
Financial Services
Safeguard transactions and customer trust by preventing costly outages in trading platforms and payment systems.
Healthcare
Ensure uninterrupted access to clinical applications, medical devices, and patient data where seconds directly impact outcomes.
Retail
Keep digital storefronts and in-store systems consistently available, protecting revenue and customer loyalty.
Telecommunications
Maintain reliable connectivity at massive scale, reducing resolution times from hours to minutes for millions of subscribers.
Across all industries, Selector delivers
- Resilient operations that prevent downtime before it impacts the business
- Faster incident resolution that frees IT teams from reactive firefighting
- Optimized resources and efficiency that translate directly into cost savings
- Better customer and user experiences that strengthen loyalty and trust
Data Correlation at Scale
The 100 Dashboard Problem
- Network teams watch one set of dashboards
- The Infrastructure team looks at others
- Applications live on their own tools.
When an incident occurs, these teams operate in silos. Each sees only their piece of the puzzle, leading to:
- Extended war rooms where teams argue about root cause
- Alert Storms with thousands of notifications for a single issue
- Finger-pointing between network, infrastructure, and application teams
- Lost revenue from extended downtime
The Correlation Challenge
- Application performance issues to underlying network problems
- Infrastructure failures to their upstream and downstream impacts
- Configuration changes to subsequent service degradations
- Real user experience to specific technical root causes
What Happens Without Correlation
Consider a real scenario
- 43 individual alerts fire across six different teams
- Each team receives different symptoms (LDAP down, interface flaps, high ping loss)
- Hours are wasted as teams investigate separately
- The actual root cause — one configuration change — is buried in noise
How Selector Transforms IT Operations
Selector reimagines observability by turning massive volumes of telemetry into actionable intelligence. Instead of endless dashboards and overwhelming amounts of alerts, teams see only what matters most — enabling faster resolution, less downtime, and more confident operations.
Collect
Modern IT environments generate signals from everywhere: including metrics, logs, events, flows, and telemetry, across networks, infrastructure, and applications. Selector ingests and normalizes data from all layers of the stack, ensuring no blind spots, silos, or gaps in visibility.
Correlate
The real challenge isn't gathering data, it's making sense of it. Selector applies AI-powered correlation and machine learning to cut through the noise, linking symptoms to causes and surfacing only the incidents that matter. Instead of thousands of redundant alerts, teams get clear, prioritized insights tied directly to business impact.
Collaborate
Resolving incidents takes both insight and action. Selector integrates seamlessly with the tools you already use, from ServiceNow and Jira to PagerDuty, Slack, and Elastic. This enables real-time collaboration, automated ticketing, and faster remediation, allowing teams to spend less time firefighting and more time innovating.
Illuminate
The result of this approach is complete, end-to-end visibility. By collecting, correlating, and collaborating across your IT ecosystem, Selector delivers clarity across every layer of the OSI model:
Optical, physical interfaces, VLANs
Routing, switching, load balancing
Sessions, SSL/TLS, middleware
App health via infrastructure and dependencies
Core Capabilities
AI-Powered Incident Management
- Correlates events across network, infrastructure, and applications
- Identifies root cause without manual investigation
- Prioritizes incidents based on business impact
- Automates remediation through integrated workflows
Universal Data Ingestion
Comprehensive coverage
Collects metrics, logs, events, topology, and telemetry from all layers
Automated enrichment
Normalizes and enriches data for consistency and context
Flexible integrations
Supports APIs, streaming telemetry, SNMP, syslog, Kafka, and file ingestion
Agentless Deployment
Eliminates blind spots and simplifies rollout
Digital Twin Modeling
- Continuous network modeling with real-time updates
- Cross-layer topology mapping from physical to application
- Historical context integration for trend analysis
- What-if scenario modeling to prevent future issues
Network DVR — Time Travel for Troubleshooting
- Historical replay of any point in time
- Timeline-based root cause analysis
- Pattern recognition across recurring issues
- Forensic investigation of past incidents
GenAI Copilot — Natural Language Insights
"Why is WiFi slow in building 3?"
"Show me all BGP flaps in the last week."
"What changed in our network yesterday?"
"What's causing high latency to our payment system?"
Selector’s proprietary Network Language Model (NLM) understands your specific environment and provides expert-level analysis without requiring query languages or complex dashboards.
Key Use Cases
Incident Management & Noise Reduction
The Problem
The Selector Solution
- Reduces alert volume by 98% through intelligent correlation
- Automatically creates and updates ServiceNow tickets
- Groups related events into single, actionable incidents
- Provides clear remediation guidance
Infrastructure Company
Proactive Operations with Digital Twin
The Problem
The Selector Solution
- Predictive analytics identify issues before impact
- What-if scenarios model change impacts
- Capacity planning prevents resource exhaustion
- Baseline anomaly detection catches subtle degradations
AI-Driven Troubleshooting
The Problem
The Selector Solution
- Natural language queries eliminate learning curve
- AI provides expert-level analysis instantly
- Guided remediation accelerates resolution
- Knowledge capture improves over time
Full-Stack Application to Network Correlation
The Problem
The Selector Solution
- Correlates application metrics with network telemetry
- Maps service dependencies automatically
- Identifies the exact network path affecting each application
- Provides evidence-based root cause, ending finger-pointing
Control Plane, Routing, & Topology Analytics
The Problem
The Selector Solution
- Analyzes routing behaviors and topology changes in real time
- Detects misconfigurations, loops, and convergence delays
- Correlates routing events with application and user impact
- Provides visibility across hybrid and multi-cloud architectures
Performance Synthetics & Analytics
The Problem
The Selector Solution
- Simulates transactions and traffic flows to validate performance
- Proactively tests availability across services and regions
- Detects degradations before they impact end users
- Correlates synthetic test failures with real infrastructure events
Device Health Analytics
The Problem
The Selector Solution
- Monitors CPU, memory, and interface utilization across devices
- Detects early warning signs of failure or degradation
- Correlates device health metrics with service availability
- Provides actionable recommendations for maintenance and replacement
ITSM Integrations, Ticketing, & Analytics
The Problem
The Selector Solution
- Automatically generates and updates tickets into ServiceNow, Jira, and others
- Enriches tickets with correlated context and root cause details
- Provides analytics on incident trends, ownership, and resolution times
- Accelerates collaboration across IT and business stakeholders
Works With Everything You Already Have
Network Equipment & Infrastructure
Routers & Switches
Cisco, Juniper, Arista, Ciena
Wireless
Cisco Prime, Meraki
SD-WAN
Cisco Meraki, Palo Alto CloudGenix
Load Balancers
F5, Citrix
Virtualization
VMware, Kubernetes
ITSM & Automation
Ticketing
ServiceNow, Jira
Incident Mgmt
PagerDuty, Opsgenie
Automation
Ansible, Rundeck
Collaboration
Slack, Microsoft Teams
Observability & Monitoring
APM
Dynatrace, AppDynamics
NPM
ThousandEyes, SevOne
Logs
Splunk, Elastic
Metrics
Prometheus, Zabbix
Cloud Platforms
AWS
CloudWatch, SQS, EC2
Azure
Monitor, Log Analytics
Google Cloud
Operations Suite
Integration Methods
Selector supports every data format and transport method:
- REST APIs for modern platforms
- SNMP/gNMI for network devices
- Syslog for traditional logging
- Kafka for streaming data
- File Ingestion for legacy systems
- Webhooks for event-driven updates
Built for Scale and Reliability
- Collection Service
- Agentless deployment - no software to install on monitored systems
- Multi-protocol support - SNMP, streaming telemetry, APIs
- Automatic discovery - finds and maps new devices automatically
- Data Hypervisor
- Normalization engine - handles any data format
- Enrichment pipeline - adds context from CMDB, topology
- Time-series optimization - efficient storage and retrieval
- Knowledge Service
- Patented ML models - correlation, causation, prediction
- Knowledge graph - continuously learning relationships
- Network LLM - Domain-specific language understanding
- Collaboration Service
- Native integrations - e.g., ServiceNow, Slack, PagerDuty
- Workflow Automation - trigger remediation actions
- API gateway - extend and customize capabilities
How Selector Applies AI/ML in Practice
Ingest & Normalize
- Collect metrics, logs, and events from across the full stack
- Normalize heterogenous data into a unified schema
Detect & Prioritize
- Apply self-supervised models to baseline behavior and flag anomalies
- Cluster and correlate events to reduce noise by up to 90%
Analyze & Explain
- Use causation and trend models to pinpoint likely root cause
- Generate contextual explanations and impact analysis
Summarize & Communicate
- GenAI language models deliver plain-English alerts and summaries
- Provide natural language Q&A and guided troubleshooting
Automate & Evolve
- Trigger closed-loop remediation via ITSM / collaboration integrations
- Continuously refine the knowledge graph with new patterns and outcomes
Patented ML Engine: Layered Intelligence
- Self-supervised learning to predict trends and detect anomalies in metrics
- Unsupervised learning to extract entities and cluster events from logs
- Causation, trend, and recommender models to accelerate root cause analysis
- Local and GenAI-powered language models to deliver contextual alerts, summaries, and natural language responses
World's Largest Digital Infrastructure Company
The challenge
- The Selector Solution
The Result
- 98% alert reduction from 5,000 to 68 per day
- $3.5M annual savings in operational cost
- MTTR reduced from hours to minutes
- Zero war rooms - root cause identified immediately
Industry-Wide Impact
Customer Testimonials
John Neiberger
Principal Engineer, Comcast
David Iannone
VP of IT Operations, TracFone
Ammar Musheer
Senior Manager of Infrastructure & Software Cloud Delivery, Bell
Why Selector
Key Differentiators
Gartner Recognition
Market Guide for Event Intelligence Solutions
Top Startup Investment Trends
Market Trend: Autonomous Networks
Hype Cycle for AI in IT Operations
Hype Cycle for Infrastructure Platforms
Hype Cycle for Monitoring and Observability
Hype Cycle for IT Operations
Hype Cycle for Agile and DevOps
Hype Cycle for AI in ITSM
Hype Cycle for ITSM
Hype Cycle for Infrastructure and Operations
Hype Cycle for Site Reliability Engineering
Hype Cycle for I&O Automation
The Selector Advantage
Correlates Everything
Not just metrics or logs, but configuration changes, topology updates, flow data, and events.
Understands Context
Selector's Network LLM is trained on networking and infrastructure, not generic text.
Learns Continuously
Every incident makes the system smarter
Integrates Deeply
Not just data ingestion, but bi-directional workflow automation
Deploys Instantly
Agentless architecture means no infrastructure changes