Executive summary
Modern IT environments are sprawling and interconnected, encompassing on-premises infrastructure, multi-cloud services, SD-WAN, WiFi, edge devices, and countless applications. Traditional monitoring tools, built for static architectures, can’t keep pace with this complexity. Teams are left drowning in alerts, sifting through siloed data, and spending hours in war rooms trying to find the root cause of issues.
Selector AI solves this by unifying full-stack observability with AI-driven event intelligence and root cause analysis. It ingests telemetry, metrics, logs, flow data, and events from across the entire IT ecosystem, correlates them in real time, and surfaces the insights that matter most. Selector helps operations teams detect, diagnose, and resolve incidents in minutes — not hours — while proactively preventing future downtime.
Selector is designed to be a force multiplier for IT and network operations teams, delivering faster resolution times, improved reliability, and clear operational visibility without replacing your existing workflows or tools.
Selector at a Glance
AI-Powered Incident Management
Correlates signals across systems, prioritizes critical alerts, and automates root cause analysis.
Digital Twin Modeling
Continuously updated, end-to-end topology with real-time and historical context.
Network DVR
Step back in time to replay historical conditions for deep post-incident analysis.
GenAI Copilot
Natural language interface for ad-hoc queries, guided remediation, root cause analysis, and instant visualizations.
Comprehensive Visibility
Full OSI layer coverage (L1–L7) with rich KPIs like latency, error rates, and throughput.
Open Ecosystem
Seamless integrations with ServiceNow, Splunk, PagerDuty, Opsgenie, AWS, Slack, and other leading IT and observability tools.
Major Use Cases
Incident Management & Noise Reduction
Automated Incident Resolution
AI correlates multi-source telemetry and resolves recurring issues without manual intervention.
Multi-Domain Event Correlation
Alerts and events from across domains are contextually connected into actionable events.
Intelligent Incident Prioritization
Events are deduplicated, enriched, and ranked by impact to reduce alert fatigue.
Real-Time Ticketing Consolidation
Automatically consolidates and synchronizes incidents with ITSM and ticketing platforms.
Knowledge Graph Analysis
Computes correlation graphs and clusters incidents to reveal relationships between events.
Full Stack OSI Visibility (L1–L7)
Comprehensive Visibility
Provides observability across all layers of the OSI model, from physical links to applications.
Advanced Telemetry Collection
Collect, analyze, visualize, and alert on data from commercial, community, or proprietary systems.
KPI Tracking
Gain insights into performance metrics like availability, response time, error rates, and throughput.
Interactive Dashboards
Visualize infrastructure and application status to quickly facilitate investigations.
Proactive Detection
Identify resourcing problems, unexpected latency, and performance issues in real time.
Seamless Collaboration
Coordinate with peers using unified observability data and live dashboards.
Integrated Alert Management
Easily manage alerts and notifications with PagerDuty, Opsgenie, Slack, Teams, email, and webhooks.
Digital Twin
Continuous Network Modeling
Builds and maintains a live, accurate model of your network and infrastructure stack.
Real-Time Topology Mapping
Continuously updated topology enriched with real-time data from every layer of the stack.
Accurate Operational View
Ensures timely visibility into the health and status of all infrastructure components.
Historical Context Integration
Works seamlessly with Network DVR to replay past states and support post-incident analysis.
Network DVR — Historical Playback
Event Replay
Builds and maintains a live, accurate model of your network and infrastructure stack.
Time-Slider Navigation
Visualize network conditions with an interactive, timeline-based playback.
Timeline-Based RCA
Pinpoint and diagnose recurring issues through historical root cause analysis.
AI-Driven Troubleshooting with GenAI Copilot
Natural Language Queries
Use conversational prompts to search telemetry and alerts.
Network LLM Insights
Selector's Network Language Model (NLM) provides expert-level guidance and analysis.
Ad-Hoc Visualization
Generate custom visualizations on demand for faster troubleshooting.
Guided Remediation
AI-powered recommendations accelerate incident resolution.
Control Plane, Routing, & Topology Analytics
Protocol Analysis
Real-time and historical visibility into BGP, BMP, IGP, and other routing/switching protocols.
Routing and Peering Insights
Monitor traffic patterns, connectivity, and latency across the network.
Topology-Aware Analytics
Identify routing bottlenecks and anomalies with contextual data.
Routing Performance KPIs
Track stability, convergence, and performance metrics.
Performance Synthetics & Analytics
User Interaction Simulation
Replicate real-world interactions with services, APIs, and networks.
End-to-End Connectivity Testing
Validate service health and detect performance degradations.
Anomaly Detection
Identify deviations in performance metrics to prevent issues.
Device Health Analytics
Broad Device Coverage
Supports routers, firewalls, switches, wireless devices, load balancers, SD-WAN, and more.
Protocol-Agnostic Telemetry
Collects data via SNMP, gRCP/gNMI, NetFlow, BGP, Syslog, and other protocols.
Device Auto-Discovery
Automatically maps and integrates devices with customizable collection profiles.
Anomaly & Outlier Detection
Aggregates metrics and identifies early signs of potential failures.
Cross-Infrastructure Analytics
Collects metrics from servers, VMs, and containers with detailed visualization.
ITSM Integrations, Ticketing, & Analytics
ServiceNow & CMDB Integration
Automates ticket creation, enrichment, and resolution.
Workflow Analytics
Tracks ticket lifecycles and integrates with APM signals.
Auto-Create & Auto-Resolve
Streamlines incident management workflows.
- SD-WAN Analytics
- Overlay & Underlay MonitoringCorrelates SD-WAN telemetry for holistic performance analysis.
- Vendor-Agnostic AnalyticsSupports multiple commercial SD-WAN vendor technologies.
- Anomaly DetectionIdentifies traffic and device behavior outliers.
- WiFi Analytics
- Access Point MonitoringTracks wireless performance, signal strength, and usage trends.
- WAN CorrelationConnects user-facing issues to WiFi or WAN conditions.
- Coverage OptimizationIdentifies bottlenecks and optimizes wireless performance.
- CPE Health Analytics
- Customer-Premises Equipment MonitoringProvides detailed health data on cable modems, ONTs, and aggregation devices.
- Network Element CorrelationMaps systemic failures across multiple devices.
- Proactive Fault DetectionIdentifies early indicators of service degradation.
- Optical Analytics
- Optical Network HealthMonitors traffic and signal quality across optical devices and interfaces.
- Anomaly DetectionFlags outliers in optical performance metrics for proactive response.
Key Integrations
Selector is built on an open and extensible architecture that seamlessly integrates with the tools and platforms you already use. By connecting logs, metrics, events, and configuration data from a wide range of sources, Selector creates a unified layer of observability and automation. These integrations provide the foundation for AI-driven event correlation, root cause analysis, and predictive insights, enabling teams to respond faster and operate more efficiently.
Unlike traditional monitoring tools — which often just ingest data — Selector actually enriches and correlates information across every layer of your environment. This approach ensures that alerts, workflows, and analytics are connected to real operational context, spanning both cloud-native systems and on-premises infrastructure.
Selector meets customers where they are, plugging directly into their existing ecosystems to deliver powerful AI-driven value without requiring operational disruption. Whether you’re using legacy systems, modern cloud-native stacks, or a hybrid of both, Selector integrates with the tools of your choice to enhance — not replace — your workflows.
Why Integrations Matter
End-to-End Visibility
Combine data from disparate systems to see a complete operational picture.
Accelerated RCA
Contextualize alerts and events with correlated telemetry for faster troubleshooting.
Workflow Automation
Trigger ticketing, notifications, and remediation tasks in ITSM and automation platforms.
Collaboration and Response
Integrate directly into team collaboration tools for real-time updates and incident management.
Scalable Ecosystem
Extend Selector's capabilities to support new technologies and custom integrations as your environments evolves.
Integration Categories & Examples
Operational Data from Network Equipment
Selector pulls configuration data, topology information, logs, and metrics from a wide range of network devices and infrastructure systems. This enables full-stack observability by correlating device health, performance data, and topology to provide actionable insights and proactive alerts.
- Routers & SwitchesJuniper, Cisco, Arista, Ciena
- Infrastructure VMWare, Kubernetes
- Device Inventory & CMDBNetbox, Nautobot, Inforblox
- SD-WANCisco Meraki, Palo Alto CloudGenix
- WLANCisco Prime
- REST API
- File Ingest
- SNMP (Poll)
- SNMP Alerts
- Syslog
- Streaming Telemetry
Real-Time Traffic Insights & Synthetic Probes
Selector validates network and application performance by simulating user traffic and synthetic transactions. This integration helps detect latency issues, validate SLAs, and perform proactive testing of critical services before real user impact occurs.
- Cisco
- ThousandEyes
- Pingmesh
- Traceroute
- Custom Synthetic Probes
- REST API
- Webhook
- Protocol (ICMP, UDP)
Logs
Selector centralizes logs from multiple network and application sources to provide a single point of visibility. By combining log data with real-time telemetry and configuration information, Selector enables event correlation, anomaly detection, and root cause analysis. This allows teams to quickly detect abnormal behaviors, security threats, or performance bottlenecks without toggling between different log management tools.
- Splunk
- Syslog (Native)
- Tacacs Logs
- Logstash
- REST API
- Webhook
- Protocol
- Streaming
Automation & Workflow
Selector automates incident response and operational workflows by connecting with orchestration and ITSM platforms. Integrations allow for auto-ticket creation and resolution, version tracking for configuration changes, and workflow orchestration that reduces manual tasks and human error. This ensures faster remediation and more consistent operational processes.
- ServiceNow
- RunDeck
- PagerDuty
- Bitbucket
- Jira
- Itential
- SolarWinds
- REST API
- Webhook
- Protocol
- Streaming
Identity Providers (IDPs)
Selector enhances security posture and simplifeis access management by integrating with identity providers for authentication brokering and centralized identity control. Selector can trigger automated identity-related alerts and responses, ensuring consistent security across all monitored systems.
- Okta
- Ping Identitiy
- Azure
- REST API
- Webhook
- Protocol
- Streaming
Alerting
Selector aggregates alerts from disparate systems into a single, intelligent stream. Through contextual enrichment and noise reduction, Selector ensures that critical alerts are escalated while duplicate or low-priority alerts are suppressed. It can also automate alert delivery through various communication channels.
- BigPanda
- ScienceLogic
- LightRiver netFLEX (optical alerts)
- PagerDuty
- SendGrid
- Twillio
- REST API
- Webhook
- Protocol
- Streaming
Collaboration Tools
Selector delivers real-time notifications and enables interactive troubleshooting workflows directly in team collaboration platforms. Selector's integration with tools like Slack and Microsoft Teams provides chat-based incident updates, intelligent alerts, and even chatbot-driven troubleshooting, enabling faster response and cross-team collaboration.
- Slack
- Microsoft Teams
- REST API
- Webhook
- Protocol
- Streaming
Public Cloud Services APIs
Selector extends visibility and observability to cloud-native resources by ingesting metrics, logs, and event data from public cloud platforms. This allows teams to correlate cloud performance with on-premise infrastructure and gain a complete view of hybrid environments.
- AWS SQS
- AWS CloudWatch
- REST API
- Webhook
- Protocol
- Streaming
Application Monitoring
Selector provides end-to-end observability by correlating application performance data with underlying network and infrastructure telemetry. This ensures faster troubleshooting of service degradation and highlights performance issues rooted in dependencies like databases or middleware.
- Dynatrace
- REST API
- Webhook
NetFlow / IPFIX
Selector offers deep traffic visibility by ingesting NetFlow/IPFIX data directly from devices or collectors. This integration helps detect traffic anomalies, identify application performance issues, and provide actionable network flow insights for troubleshooting and optimization.
- Elastiflow
- REST API
- Webhook
- Streaming
Event Streaming & Data Feeds
Selector ingests and processes large-scale event streams in real time, enabling high-speed anomaly detection, event correlation, and predictive analytics. Data feeds can also be ingested from files, spreadsheets, and external event sources for unified analysis.
- Kafka
- BGP Monitoring (BMP/OBMP)
- File Ingest (CSV, Excel, Google Sheets)
- REST API
- File Ingest
- SNMP (Poll/Push)
- Syslog
- Protocol
- Streaming
Why Selector?
Selector is more than just an observability platform. Built from the ground up with AI, correlation, and extensibility at its core, Selector is a force multiplier for IT and network operations teams that transforms how enterprises detect, diagnose, and resolve issues.
Key Differentiatiors
Selector ingests and processes large-scale event streams in real time, enabling high-speed anomaly detection, event correlation, and predictive analytics. Data feeds can also be ingested from files, spreadsheets, and external event sources for unified analysis.
- True Full-Stack Visibility
- From Layer 1 to Layer 7: Selector collects and correlates data across networks, infrastructure, and applications, eliminating blindspots and silos.
- Unified Observability: By consolidating metrics, events, and telemetry from diverse sources, Selector provides a single-pane-of-glass view for faster decision making.
- AI-Powered Operations
- Noise Reduction: Event correlation and clustering reduce thousands of raw alerts into a few actionable incidents.
- Automated Root Cause Analysis: AI pinpoints the source of problems within seconds, accelerating mean time to resolution (MTTR).
- Predictive Insights: "What-If" analytics identify risks before they escalate into outages.
- Seamless Integrations
- Plug Into Your Ecosystem: Selector integrates with ServiceNow, Splunk, PagerDuty, Dynatrace, AWS, Slack, and hundreds of other tools.
- Open & Extensible: Whether it's logs, streaming telemetry, or cloud APIs, Selector ingests and normalizes data from any source.
- Built for Modern IT Environments
- Cloud-Ready & Hybrid: Selector spans on-premises data centers, cloud environments, SD-WAN, WiFi, and edge networks. In other words, we work where you do.
- Scalable Architecture: Handle high-volume telemetry without sacrificing speed or accuracy.
- Digital Twin & Historical DVR: Go beyond real-time insights with continuous topology mapping and historical playback.
Why Teams Choose Selector
Selector’s platform is organized around four core services that work in sequence, each enriching the data and intelligence passed to the next layer. This layered architecture is what allows Selector to deliver reliable, explainable, and actionable insights at scale.
Faster Troubleshooting
Reduce MTTR by collapsing alert storms into root-cause insights.
Proactive Operations
Detect issues before they affect end users.
Reduced Operator Fatigue
Less time spend on noise, more time spent on optimization.
Faster ROI
Integrates easily with your existing tools and workflows.
The Selector Advantage
Selector uniquely combines AIOps, digital twin modeling, and full-stack visibility with a industry-first, proprietary network language model (NLM) and patented machine learning engine to enable intelligent conversations and guided remediation. No other platform offers this blend of AI-driven correlation, real-time insights, and flexible integrations.
To learn more about Selector, visit Selector.ai or schedule a call with one of our experts.
Conclusion
Selector bring together AI-powered observability, event intelligence, and seamless integrations to transform how IT and network operations teams manage complex environments. By unifying data from across the OSI stack, enabling real-time correlation, and providing advanced tools like Digital Twin and GenAI Copilot, Selector delivers faster resolution, reduced noise, and proactive operational insights.
With its open ecosystem and scalable architecture, Selector adapts to your unique workflows — whether you’re managing on-premises infrastructure, hybrid cloud environments, or global networks. This combination of end-to-end visibility, AI-driven root cause analysis, and intelligent automation empowers teams to move beyond reactive monitoring towards truly proactive operations.