Selector Raises $32M for AI Observability
AI observability platform Selector raised $32 million in a funding round led by AVP. The company uses agentic workflows for autonomous monitoring, anomaly detection, and incident response, aiming to replace manual oversight of digital infrastructure with closed-loop, automated remediation.
- This latest funding round doubles Selector's valuation to $375 million and brings its total capital raised to over $66 million since its founding in 2019. - The company was co-founded by CEO Kannan Kothandaraman and CTO Nitin Kumar, both of whom are former executives from Juniper Networks. Their team now includes experts from Uber, Meta, Cisco, and VMware. - Selector reports significant customer traction, with around 80% of its clients being Fortune 1000 companies, including three new Fortune 20 customers in manufacturing and healthcare. The company also states it has doubled its annual recurring revenue for four consecutive years. - The investment round was led by AVP, a global venture firm with over €2.5 billion in assets that focuses on high-growth tech companies. The syndicate also includes strategic investors such as AT&T Ventures, Bell Ventures, and Singtel Innov8, indicating a focus on the telecommunications sector. - The platform's technical approach combines large language models (LLMs), knowledge graphs, and causal reasoning to move beyond simple data correlation. Selector recently secured eight U.S. patents for its technology covering causal inference, AI-based correlation, and predictive maintenance. - According to co-founder Kannan Kothandaraman, the company's mission is to address operational pain points caused by having too many monitoring tools, fragmented data, and excessive alerts, with the goal of using AI to augment human engineers rather than replace them. - Selector operates in the competitive AIOps and observability market, facing established players such as Datadog, Dynatrace, New Relic, and Splunk.