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Selector

Category: AI Infrastructure

AI-powered network observability and intelligence platform that unifies data, correlation, and automation to help enterprises detect, diagnose, and resolve infrastructure issues. Selector was founded in 2019. The company is led by Kannan Kothandaraman. Based in Santa Clara, California, United States. Team size: 101-500. Total funding raised: $98M. Latest round: Venture Round. Key investors include AVP (Atlantic Vantage Point), Ansa Capital, Two Bear Capital, SineWave Ventures, Atlantic Bridge, Singtel Innov8, Comcast Ventures, Azure Capital Partners, AT&T, Bell, Hyperlink Ventures.

Founded
2019
Headquarters
Santa Clara, California, United States
Team size
101-500
Total funding
$98M

Value proposition

Reduce MTTR by 85%, 95% noise reduction, 10x faster root cause analysis, 70% fewer incidents through AI-native observability that unifies logs, metrics, configs, and topology into a single intelligence layer

Products and solutions

Selector AI Platform (AI-native observability platform), AI Correlation & RCA, Operational Digital Twin, Network LLM & Copilot, Full-stack observability (L1-L7), Selector MCP (Model Context Protocol), Multi-cloud observability solution

Unique value

Patented AI correlation engine combining LLMs, knowledge graphs, and causal reasoning to provide instant root cause analysis across all domains — network, infrastructure, and applications — with natural language interaction via Copilot

Target customer

Fortune 1000 enterprises, telecommunications providers, financial services, healthcare, retail, and large-scale data center operators

Industries served

Telecommunications, Financial Services, Healthcare, Retail, Cloud Service Providers

Technology advantage

Multi-layer AI combining LLMs, knowledge graphs, and causal reasoning; Operational Digital Twin for what-if simulation; 300+ data source integrations; eight foundational U.S. patents (causal inference, LLM training, AI correlation, predictive maintenance, network path intelligence); Gartner Cool Vendor 2023; Representative Vendor in 2026 Gartner Market Guide for Event Intelligence Solutions

How they differentiate

Unlike fragmented legacy monitoring tools, Selector provides a unified AI-native platform with a digital twin, natural language copilot, patented AI correlation, and zero-tuning anomaly detection — all in a single pane of glass across L1-L7

Main competitors

Dynatrace, New Relic, Cisco ThousandEyes, Splunk (now part of Cisco), Datadog, ServiceNow, Kentik, ExtraHop

Key partnerships

WWT (Certified), Google Cloud Network observability partner ecosystem, Gartner Cool Vendor 2023; Representative Vendor in 2026 Gartner Market Guide for Event Intelligence Solutions, 300+ data source integrations

Notable customers

Fortune 20 companies (manufacturing, healthcare), Comcast, TracFone, Bell, Lumen, Fiserv, Singtel, NBC, Fortune 1000 organizations (~80% of customer base)

Major milestones

Founded 2019 by ex-Juniper Networks executives, 2022: $28M Series A, 2023: Named Gartner Cool Vendor, 2024: $33M Series B with AT&T, Bell, Singtel, 2025: 130% ARR growth, 80% Fortune 1000 customers, Feb 2026: $32M funding at $375M valuation

Growth metrics

$9.7M ARR (2024, prior figure); cumulative ARR reached 230% of 2024 levels (~130% growth) and new ARR booked 370% of 2024 (per Feb 2026 PR); ~161 LinkedIn-listed employees / company size 51-200; ~80% Fortune 1000 customers; $375M valuation (Feb 2026)

Market positioning

AI-native network observability leader targeting the shift from fragmented monitoring tools to unified intelligence platforms, with strong Fortune 1000 adoption and 130%+ ARR growth

Geographic focus

North America (headquarters in Santa Clara, CA); expanding to Canada, Europe, Singapore, India, Japan

Patents and IP

Eight foundational U.S. patents granted (Jan 20, 2026) covering causal inference, LLM training, AI-powered correlation, predictive maintenance, network path intelligence, optical transceiver failure prediction, and related AIOps innovations (USPTO)

About Kannan Kothandaraman

Ex-Juniper Networks (Senior Director, Senior Software Engineer); Ex-Cisco Systems (Software Engineer). Texas A&M University.

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