AVP recently led Selector’s $32m funding round as the company scales the platform that is redefining how the world’s largest enterprises understand, troubleshoot, and operate their networks.
At AVP, we back category-defining technology businesses with clear product-market fit, a strong go-to-market engine, sound unit economics, and a founding team with fortitude and experience who have lived the problem they are solving. Selector had all of these.
The problem: networks are more critical than ever, but the tools haven’t kept up
Nearly every modern enterprise runs on its network. Financial transactions, patient records, retail point-of-sale systems, media delivery, and telecommunications services all depend on networks that must perform flawlessly around the clock. Downtime doesn’t just create inconvenience; it destroys revenue, erodes customer trust, and in some industries, creates real safety risk.
Yet the way organizations monitor and manage their networks remains broken. Most tools were built for a simpler era: static, siloed systems designed to watch individual devices rather than understand entire networks in context. As enterprises have migrated to hybrid and multi-cloud architectures and expanded across geographies, network complexity has exploded, but the tooling has not kept pace. Many enterprises today either don’t monitor their network at all or monitor only a small subset on a periodic basis. When an outage occurs, network operations center (NOC) teams scramble to manually triage alerts across fragmented legacy systems, spending up to 90% of their repair time working to figure out what went wrong. The network observability market is ready for something better. Selector was built to be that something.
The solution: Selector’s AI-powered platform
Selector delivers an AI-powered observability and operational intelligence platform that unifies network telemetry data, automates correlation, and drives real-time root cause analysis across the full network stack. A few things stand out:
First, a flexible, vendor-agnostic data ingestion platform that connects to over 300 network telemetry sources across environments (on-premises, cloud, and edge), ingests data in any format (structured or unstructured), and does so at scale. This consolidates fragmented data into a single, unified view without ripping and replacing existing tooling.
Second, a proprietary AI correlation engine fine-tuned for network-specific use cases. It automatically correlates anomalies, identifies probable root causes, and suppresses noisy alerting. Selector’s domain-specific intelligence surfaces insights that general-purpose AIOps platforms miss.
Third, near real-time visibility across the entire network. Customers consistently called this out as transformative. Where organizations previously monitored only a subset of their infrastructure periodically, Selector delivers continuous observability that slashes both mean time to detection and mean time to resolution, translating into higher uptimes and lower operational costs.
Fourth, an industry-first Network Language Model (NLM) and Copilot that lets engineers ask questions in natural language, get AI-driven root cause summaries, and share insights instantly across teams. Complex telemetry becomes clear, actionable intelligence accessible to the full operations team, not just the most senior engineers.
And fifth, Digital Twin and predictive capabilities that enable “what-if” scenario analysis, historical network replay, and proactive risk detection. These are backed by eight recently granted U.S. patents spanning causal reasoning, predictive analytics, and network path intelligence.
The team
In networking, the expertise required to build a differentiated observability platform is extensive. As one reference put it, only a handful of companies like Juniper, Cisco, and Broadcom have the technical depth to spin out something like Selector. Co-Founders, Kannan and Nitin weren’t just at one of these companies; they were among its most senior leaders. Together, they saw firsthand how fragmented monitoring and reactive troubleshooting created an operational burden for network operators. They recognized that AI could be applied to this problem not as a bolt-on to legacy tools, but as the foundation of something new. That experience shows up across the platform, from its data ingestion architecture to its correlation engine to the domain knowledge baked into its NLM.
We first met Kannan and Nitin during Selector’s Series B process in early 2024. Over the following eighteen months, we stayed close to the team, spoke with many of Selector’s customers (one of whom even went so far as to describe Selector’s offering as “magic”), and built conviction in the business. That sustained engagement gave us a clear picture of the company’s trajectory, competitive positioning, and value delivered to customers. When the opportunity came to lead a round, we were eager to partner with Kannan, Nitin, and the Selector team.
Why we’re excited
Selector’s market opportunity is large and growing as enterprises embrace hybrid cloud, AI workloads, and distributed architectures. Legacy monitoring tools were not built for this world, and the need for intelligent, unified network observability grows more pressing every year.
Selector’s combination of flexible data ingestion, proprietary AI correlation, full-network real-time visibility, and a purpose-built NLM represents a real technology moat. Not a wrapper around existing tools, but a platform built from the ground up, informed by years of domain expertise. The traction backs it up: ARR has doubled for four consecutive years, a strong land-and-expand motion has driven high retention, and the company serves a blue-chip Fortune 1000 customer base across telecom, financial services, technology, media, healthcare, and retail.
What now?
AVP led Selector’s $32m funding round, joined by Ansa Capital, Two Bear Capital, Sinewave Ventures, Singtel Innov8, and other existing investors. The investment will help accelerate AI innovation, fuel product development, advance global go-to-market expansion, and strengthen customer success.
We’re excited to be partners with Kannan, Nitin, and the entire Selector team to help Selector realize its ambition.
