Selector raised $32 million in new funding, doubling its valuation to $375 million as enterprise demand for AI-driven observability accelerates. AVP led the round with participation from Ansa Capital, Two Bear Capital, Sinewave Ventures, and Singtel Innov8. The Santa Clara-based company plans to use the capital to expand product development, scale global go-to-market operations, and grow customer support capabilities.
The funding follows a period of rapid enterprise growth. Selector reported cumulative annual recurring revenue (ARR) reached 230% of 2024 levels, marking its fourth consecutive year of doubling ARR. New ARR bookings climbed to 370% of 2024 levels. The company added three Fortune 20 customers across manufacturing and healthcare, while approximately 80% of its customer base now consists of Fortune 1000 organizations. Selector also expanded into Japan through new regional partnerships and onboarded its first Japanese enterprise customers.
Selector positions its platform as a horizontal AI layer that correlates data across network, cloud, and application domains to identify root causes of incidents. The company recently secured eight U.S. patents covering causal inference, LLM training, AI-powered correlation, predictive maintenance, and network path intelligence. It also plans to release next-generation Agentic ChatOps capabilities designed for multi-turn reasoning and iterative investigation across complex infrastructure environments.
- $32 million funding round; valuation rises to $375 million
- ARR reaches 230% of 2024 levels; fourth consecutive year of doubling ARR
- New ARR bookings at 370% of 2024 levels
- Three new Fortune 20 customers added; ~80% of customers are Fortune 1000
- Expansion into Japan with first enterprise deployments
- Eight U.S. patents covering causal AI, LLM training, and predictive maintenance
- Upcoming Agentic ChatOps with multi-turn reasoning capabilities
“Enterprises are moving away from fragmented monitoring tools toward platforms that deliver intelligence, context, and automation at scale, and our rapid customer expansion validates our efforts to help them navigate this transition and modernize their operations,” said Kannan Kothandaraman, CEO of Selector.
🌐 Analysis: Selector’s funding comes as enterprises modernize network and cloud operations to manage AI-driven workloads and distributed infrastructure. Competitors such as Datadog, Dynatrace, and Splunk continue to embed AI and automation into observability platforms, while startups target root-cause automation and agentic operations. Selector’s patent portfolio and Fortune 1000 concentration position it to compete in a market shifting from monitoring dashboards to AI-assisted operational decision systems.
