# Selector AI

**Source:** https://geo.sig.ai/brands/selector-ai  
**Vertical:** AI Infra  
**Subcategory:** Network Operations  
**Tier:** Emerging  
**Website:** selector.ai  
**Last Updated:** 2026-04-14

## Summary

Selector AI raised $32M in February 2026 for its AI-powered network observability platform that reduces MTTR for NOC teams by correlating telemetry across multi-vendor environments.

## Company Overview

Selector AI provides an AI-driven network operations platform that ingests telemetry from routers, switches, firewalls, and cloud infrastructure to automatically correlate events, detect anomalies, and recommend root cause fixes. The platform's natural language query interface lets NOC engineers ask questions like "why is latency high on this link?" without writing complex queries. Selector integrates with Cisco, Juniper, Arista, and major cloud providers, making it vendor-agnostic.

Founded in 2020, Selector has deployed across large enterprise and service provider networks managing thousands of devices. The $32M February 2026 funding round will accelerate AI model development for predictive fault detection and expand the company's partnership ecosystem with major network equipment vendors.

As networks grow in complexity with SD-WAN, cloud interconnects, and AI workload traffic, Selector addresses the acute shortage of network engineering talent by enabling smaller NOC teams to manage larger, more heterogeneous environments. The platform competes with ThousandEyes (Cisco) and Kentik but focuses on AI-native automation rather than monitoring dashboards.

## Frequently Asked Questions

### What problem does Selector AI solve?
Selector AI reduces mean time to resolution (MTTR) for network operations teams by automatically correlating telemetry across multi-vendor environments and surfacing root causes through natural language queries.

### What networks does Selector AI support?
Selector integrates with Cisco, Juniper, Arista, and major cloud providers, making it vendor-agnostic for enterprise and service provider network environments.

### How much has Selector AI raised?
Selector AI raised $32M in February 2026, bringing total funding to over $50M to accelerate predictive fault detection AI development.

### What problem does Selector AI solve?
Selector AI addresses network operations complexity by applying AI to automatically detect anomalies, identify root causes, and reduce mean time to resolution (MTTR) in large-scale enterprise and service provider networks.

### Who are Selector AI's target customers?
Selector AI targets large enterprises and telecommunications service providers that operate complex multi-vendor network infrastructure and need AI-driven insights to manage network health at scale.

### How does Selector AI integrate with existing tools?
Selector AI integrates with existing network management systems, observability platforms, and ticketing tools — ingesting telemetry data from routers, switches, and cloud infrastructure without requiring rip-and-replace of existing tooling.

### What data sources does Selector AI analyze?
Selector AI ingests streaming telemetry, SNMP, syslog, flow data, and cloud provider metrics — correlating signals across multiple data sources to surface meaningful insights that individual monitoring tools would miss.

### Does Selector AI support multi-vendor environments?
Yes. Selector AI is designed for multi-vendor environments, supporting devices and platforms from Cisco, Juniper, Arista, and major cloud providers — reflecting the heterogeneous reality of enterprise network infrastructure.

## Tags

ai-powered, analytics, automation, b2b, infrastructure, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*