Native network monitoring startup with artificial intelligence Selector Software Inc. announced today that it has closed a $33 million funding round, bringing its total raised to date to over $66 million.

Today’s Series B round was led by Ansa Capital and saw participation from existing investors Two Bear Capital, Atlantic Bridge and Sinewave Ventures, plus new investors such as AT&T, Bell, Singtel Innov8 and Hyperlink Ventures.

The startup is the creator of a Event intelligence platform powered by artificial intelligence which is designed to give telecommunications providers and other enterprises deep insight and visibility into their complex networks and application infrastructures so they can identify the source of any issues that arise.

According to Selector, modern enterprises face a significant increase in complexity as they migrate their most critical systems and applications to the cloud. As they do so, they are also faced with an increasing number of new technologies, and the result is that they end up facing more complex and frequent disruptions to both networks and applications. However, many organizations lack the teams and expertise to resolve such issues quickly enough, leading to extended downtime when issues arise.

The problem is that up to 90% of repair time is spent trying to find the source of the problem that is causing the outage. When incidents occur, teams have to wade through massive volumes of data to try to figure out what went wrong and what they need to fix, and that’s where the Selector platform comes in handy.

The Selector believes it can reduce the time it takes to find the cause of problems to just a few seconds. By interfacing directly with an organization’s network language model platform, it creates a digital twin of their infrastructure that allows them to model how everything works normally. This makes it easier to understand the source of any issues that arise, and teams can then engage in real-time, natural-language conversations with their infrastructure stack via Copilot Selector to determine exactly what went wrong.

Selector co-founder and chief executive Kannan Kothandaraman said even one second of downtime is too much for an organization’s most critical network infrastructure. Teams need a way to instantly understand what’s wrong, and that’s what his company’s platform is trying to provide.

“Solving this problem requires self-correlation between enormous volumes of data, and that’s why we exist,” he said. “We’ve spent the last five years demonstrating how autonomous AI technology and human network expertise can work together to ensure the world’s most demanding networks are up, running and generating revenue at all times. We are now ready to expand this activity significantly.”

Kothandaraman and his co-founder Nitin Kumar gained their networking experience at Juniper Networks Inc. and hired a team of networking experts and large language models from that company, as well as others from Cisco Systems Inc., Meta Platforms Inc., Nutanix Inc. and VMware Inc.

They believe that Selector technology has already been implemented by a the number of large enterprisesincluding Canada’s largest telecommunications company, one of the world’s largest providers of web and email hosting services, and a leading provider of managed software-defined networking services.

With today’s round of funding, Selector aims to enhance its AIOps stack and expand its geographic footprint by opening new offices in the US, Canada, Europe, Singapore, India and Japan.

Ansa Capital General Partner Allan Jean-Baptiste said he believes Selector can help solve a very expensive problem for some of the world’s largest companies.

“The advent of cloud technology, distributed microservices and the need for 24/7 uninterrupted performance have significantly increased the demands on enterprise network teams,” said Jean-Baptiste. “Selector has proven that it can gain 360-degree visibility into networks and prescribe actions immediately after an incident occurs.”

Images: Selector