Startup of network monitoring with artificial intelligence Selector Software Inc. said today that it has closed a $33 million funding round, bringing its total to date to more than $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 AI-powered event intelligence platform which is designed to provide telecommunications providers and other enterprises with deep insights and visibility into their complex network and application infrastructures, allowing them to identify the source of any problems that arise.

According to Selector, modern businesses are faced with having to deal with a significant increase in complexity as they migrate their most critical systems and applications to the cloud. As they do this, they also deal with an increasing number of new technologies, and the result is that they end up with more complex and frequent outages, for both networks and applications. But many organizations lack the teams and expertise to deal with such issues quickly enough, resulting in 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 happen, teams have to sift through massive amounts of data to try to figure out what went wrong and what they need to fix, and that’s where Selector’s platform comes in handy.

Selector believes it can reduce the time it takes to find the cause of problems to just a few seconds. Interoperating directly with an organization’s network language modeling platform, it creates a digital twin of their infrastructure that allows it 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 Selector Copilot to determine exactly what has gone wrong.

Selector, co-founder and CEO, Kannan Kothandaraman, said that even a second of downtime is too much for an organization’s most mission-critical network infrastructure. Teams need a way to immediately understand what’s wrong, and that’s what his company’s platform tries to deliver.

“Solving this problem requires autocorrelation over huge volumes of data, which is why we exist,” he said. “We have spent the last five years demonstrating how autonomous AI technology and human networking expertise can work together to ensure the world’s most demanding networks are up, running and generating revenue at all times. We are now poised to scale this work significantly.”

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

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

With the funding from today’s round, Selector aims to enhance its AIOps stack and expand its geographic footprint, 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 biggest companies.

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

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