Selector

Selector is an enterprise software company that provides an AI-driven operations and Observability Platform (OP) for network, infrastructure, and application environments.

• AI-assisted observability and monitoring for networks, infrastructure, and applications (observability).
• Correlation and Root Cause Analysis (RCA) across logs, metrics, events, and topology data (IT operations analytics).
• Alert noise reduction and incident triage with AI-based event correlation (AIOps).
• Dashboards and analytics for operations teams managing hybrid and multi-cloud environments (IT operations management).
• Integrations with existing monitoring, IT service management, and collaboration tools (systems integration).

More About Selector

Selector focuses on AI-enabled observability and operations for enterprises that run complex network, infrastructure, and application environments, including service providers, large enterprises, and cloud-centric organizations. Its platform ingests and analyzes telemetry from multiple sources, such as metrics, logs, events, and topology data, and applies Machine Learning (ML) models to correlate events, identify likely root causes, and present prioritized incidents to operations teams.

The company positions its offerings in the AI Operations (AIOps) (artificial intelligence for IT operations) and observability categories, targeting network operations centers (NOCs), Site Reliability Engineering (SRE) teams, and IT operations groups. Selector’s platform is intended to System Integration Testing (SIT) alongside or on top of existing monitoring tools, aggregating data from systems such as network performance monitors, infrastructure and application monitoring platforms, log analytics tools, and IT service management systems. By correlating signals across these sources, it aims to reduce alert fatigue and present actionable insights about incidents and service health.

From an architectural standpoint, Selector uses data pipelines that collect and normalize telemetry, then apply analytics and ML models for anomaly detection, clustering, and correlation. The platform commonly interacts with standard enterprise protocols and data formats such as Simple Network Management Protocol (SNMP) for network devices, syslog for events, and APIs for metrics and topology ingestion from third-party observability and monitoring tools. It also integrates with collaboration platforms and ticketing systems so that incidents and insights can be routed into established workflows.

Selector’s offerings are positioned against adjacent solution categories such as traditional Network Performance Monitoring (NPMO), legacy fault management systems, and standalone log analytics platforms. Unlike single-domain tools, it emphasizes cross-domain correlation that spans network, infrastructure, and application layers. In marketplace and directory taxonomies, Selector fits within observability, AIOps, IT operations analytics, and network operations support, rather than being categorized as a general-purpose cloud provider or standalone security platform.

Enterprises adopting Selector typically use it to create a consolidated operational view across hybrid and multi-cloud environments, including data centers, campus networks, Wide Area Network (WAN), and public cloud infrastructure. The platform’s integrations allow organizations to maintain existing investments in monitoring tools while adding an AI-based correlation and analytics layer. This positions Selector as an option for organizations seeking to improve mean time to detect and mean time to resolve incidents, align operations data with business services, and provide operations teams with a unified context for incident response and RCA.