Selector has raised US$32 million in a new funding round, doubling its valuation to US$375 million as it seeks to expand its AI-driven observability platform for large enterprise networks.
The Santa Clara-based company said the round was led by AVP, with participation from Ansa Capital, Two Bear Capital, Sinewave Ventures and existing investors. The funding will support product development, AI research, global go-to-market expansion and customer growth initiatives.
Selector positions its platform as a unified observability solution designed to break down data silos across complex IT and network environments. By correlating data horizontally across infrastructure layers, the platform aims to provide a consolidated operational view and enable root-cause analysis across traditionally fragmented monitoring systems.
The funding follows the company’s announcement last month of eight US patents covering areas including causal inference, large language model training, AI-driven correlation, predictive maintenance and network path intelligence.
Selector reported strong growth metrics for 2025. The company said cumulative annual recurring revenue (ARR) reached 230% of 2024 levels, marking its fourth consecutive year of doubling ARR. New ARR booked was reported at 370% of 2024 levels. Approximately 80% of its customers are now Fortune 1000 organisations, with three new Fortune 20 customers added in manufacturing and healthcare sectors.
The company has also expanded through major cloud marketplaces and entered the Japanese market, securing new partnerships and onboarding its first enterprise customers in the country. Selector said it has been referenced in 19 Gartner research publications, including the 2025 Gartner Market Guide for Event Intelligence Solutions.
Selector plans to release an updated version of its ChatOps capabilities, described as “Agentic ChatOps,” aimed at supporting multi-step reasoning and deeper operational investigation within enterprise environments.
The company said enterprise customers are increasingly seeking consolidated intelligence and automation platforms as they move away from fragmented monitoring tools toward i
