Kana raised $15M seed led by Mayfield for agentic AI marketing platform. SF-based startup uses AI agents for precision audiences, AEO, real-time analytics, and campaign optimization targeting DTC brands, retailers, and agencies. (147 characters)

Selector Raises $32M for AI AIOps Platform

Selector raised $32M in funding for its AI-native AIOps platform unifying 300+ telemetry sources, cutting MTTR 85% and alert noise 95%. Valuation doubles to $375M, ARR grows 4x, targeting Fortune 500 telecom and enterprises.

Emel Kavaloglu

Feb 19, 2026

Selector Raises $32M for AI AIOps Platform

Selector, an AI-native AIOps and network observability platform, has raised $32 million in a strategic funding round. The company unifies telemetry from 300+ sources across networks, infrastructure, and applications, providing patented AI correlation, instant root cause analysis, operational digital twins, and a Network LLM Copilot for natural language insights. The capital will accelerate innovation to eliminate downtime for enterprises.

AI Observability Funding Accelerates

The timing aligns with surging demand for AI-driven network intelligence amid complex hybrid infrastructures. Selector's valuation has doubled to $375M while ARR grew nearly 4x, signaling strong market validation. Customers like Lumen, Tracfone, Bell, Singtel, and Comcast report 85% MTTR reductions and 95% less alert noise.

Hybrid Networks Breed Alert Fatigue

Fortune 500 enterprises and telecom providers manage sprawling hybrid/multi-cloud/multi-domain setups, where downtime costs millions per hour and siloed tools overwhelm SREs with alert storms. Traditional observability platforms struggle with data correlation across 300+ sources, delaying root cause analysis (RCA) and inflating MTTR. Selector targets NetOps, SREs, architects, and executives in telecom, fintech, healthcare, retail, and media facing these pain points.

Patented AI Delivers Instant RCA

Selector's full-stack platform stands out with patented causal inference AI that correlates telemetry for 10x faster RCA, operational digital twins for simulation, and the first Network LLM Copilot enabling natural language queries. Unlike legacy tools focused on metrics alone, Selector introduces MCP (Model Context Protocol) for AI agent interoperability. This has driven 70% incident cuts for customers across thousands of sites.

The platform's 300+ integrations provide unified visibility, outperforming fragmented competitors by automating remediations and slashing noise.

Valuation Doubles on Proven Traction

Total funding now exceeds $66M, with the latest round pushing valuation to $375M post-money. ARR tripled in 2024 (398% growth) and net revenue retention hit 170%, underscoring product-market fit. Investors recognize Selector's shift from reactive monitoring to proactive, AI-native operations as key to enterprise-scale reliability.

AIOps Market Draws Heavy Capital

The AIOps and observability sector sees robust investment, with Selector named a Gartner Representative Vendor in the 2025 Event Intelligence Solutions Market Guide and Cool Vendor in 2023. Telecom giants and Fortune 500s demand solutions for production networks, fueling growth. Recent milestones include eight U.S. patents in AI network intelligence and availability on AWS and Microsoft Azure Marketplaces.

Ex-Juniper Leaders Drive Innovation

Founded by former Juniper Networks executives, Selector emphasizes data-centric AI tailored for real-world networks. Their expertise in high-scale infrastructure has enabled rapid innovation, including the first-to-market MCP Server and partnerships in Japan for global expansion.

Global Expansion Powers Ahead

With deployments at major carriers, Selector eyes broader adoption via cloud marketplaces and international partnerships. The $32M will support hiring, R&D on Network LLM advancements, and scaling to more enterprises, building on 146 employees and proven ROI metrics.

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