Network observability startup Selector reels in $32M
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Network observability provider Selector Software Inc. today announced that it has raised a $32 million funding round at a $375 million valuation.
AVP led the investment. It was joined by Ansa Capital, Two Bear Capital, Sinewave Ventures, Singtel Innov8 and several others. The round comes about 14 months after Selector raised $33 million from a consortium that included three major internet providers.
Troubleshooting networking issues is challenging partly because packets often make multiple pit stops before reaching their destination. In a data center, requests sent from one server to another might often have to flow through multiple switches and a firewall. When an outage occurs, engineers must determine which of those devices is causing the error.
Troubleshooting long-distance connections is even more difficult. In many cases, such connections use not only a company’s own network equipment but also the infrastructure of an internet provider. Organizations often have limited visibility into issues affecting carrier networks.
Santa Clara, California-based Selector offers an artificial intelligence platform that promises to simplify network monitoring. It collects logs, metrics, configuration data and other telemetry from customers’ corporate networks. The built-in AI models use the data to surface technical issues that engineers would usually have to uncover manually.
One way Selector spots issues is by mapping out usual traffic patterns in a company’s network. It compares new requests against those patterns and finds unusual activity that might indicate a malfunction. According to Selector, its platform can also highlight if a newly detected error occurred in the past.
The company flags malfunctions by generating a natural language alert that explains what system is affected and the root cause. Administrators can access additional information by entering questions into a chat box. For example, Selector can be instructed to generate a diagram that visualizes the network paths through which a certain application’s traffic travels.
The platform uses the network data it collects to create a digital twin of companies’ infrastructure. Administrators can use the digital twin to test updates for bugs before rolling them out to production. Additionally, the feature lends itself to planning future hardware upgrades that may be needed to address traffic growth.
“Enterprises are moving away from fragmented monitoring tools toward platforms that deliver intelligence, context and automation at scale,” said Selector Chief Executive Officer Kannan Kothandaraman.
Selector disclosed that its annualized recurring revenue jumped 130% in 2025, off an undisclosed base. The software maker says that the growth was mainly driven by Fortune 1000 companies, which now account for 80% of its installed base. Selector will use its new funding to enhance its platform and finance go-to-market initiatives.
