Native network monitoring startup with artificial intelligence Selection Software Inc. said today it has closed a $33 million funding round, bringing the total amount raised 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, as well as 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 give telecommunications providers and other businesses deep insights and visibility into their complex networks and application infrastructures, so they can identify the source of any issues that arise.

According to Selector, modern businesses face increasing complexity when migrating their most critical systems and applications to the cloud. In doing so, they are also faced with a growing number of new technologies, leading them to experience more complex and frequent outages, both at the network and application level. However, many organizations do not have the teams and expertise to address these issues quickly enough, leading to extended downtime when problems arise.

The problem is that up to 90% of repair time is spent trying to locate the source of the problem that caused the failure. When incidents occur, teams have to sift through huge volumes of data to try to determine what’s wrong and what they need to fix, and that’s where the Selector platform comes in handy.

Selector estimates that it can reduce the time it takes to find the cause of problems to just seconds. By interfacing directly with an organization’s network language model platform, it creates a digital twin of its infrastructure that allows it to model how everything normally works. 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 the Co-pilot selector to determine exactly what is wrong.

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

“Solving this problem requires autocorrelating huge volumes of data, and that’s 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 and running and generating revenue at all times. We are now ready to expand this work significantly.

Kothandaraman and his co-founder Nitin Kumar acquired their networking expertise at Juniper Networks Inc. and hired a team of networking 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 that Selector’s technology has already been deployed by a number of large companiesincluding Canada’s largest telecommunications company, one of the world’s largest providers of web hosting and email services, and a leading provider of software-defined network management services.

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

Allan Jean-Baptiste, general partner at Ansa Capital, said he believed Selector could help solve a very costly problem for some of the world’s largest 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 it can gain 360-degree visibility into networks and prescribe action instantly after an incident occurs. »

Images: Selector