Selector, an AIOps solution that gives the world’s largest companies complete visibility and intelligence into their highly complex networks, infrastructure and applications, announced the closing of its $33 million Series B funding round. The funding round was led by Ansa Capital. It was joined by existing investors Two Bear Capital, Atlantic Bridge, and Sinewave Ventures, as well as AT&T Ventures, Bell Ventures, Singtel Innov8, and Hyperlink Ventures. The new funding brings Selector’s total funding to over $66 million.
Launched by Juniper Networks executives Kannan Kothandaraman and Nitin Kumar, Selector’s team is composed of network, machine learning and Large Language Model (LLM) experts from companies including Juniper, Uber, Meta, Cisco, Nutanix and VMware. And the company’s technology is already deployed by some of the largest telecommunications and enterprise companies and is seeing increased adoption by new large-scale customers.
Selector will utilize the funding to accelerate the development of its AIOps, LLM and Digital Twin technologies, enabling unprecedented end-to-end network and infrastructure visibility for companies. And it will additionally expand its geographic footprint with new offices and staff across the US, Canada, Europe, Singapore, India, and Japan.
Companies across various industries, including telecommunications, healthcare, hospitality, retail and SaaS, are dealing with an explosion of data and complexity as they migrate to Cloud and accelerate AI adoption. And the number of technologies they’re using is also increasing, resulting in more frequent and complex outages. But their teams lack the scale and time to manually troubleshoot and fix these growing issues quickly, leading to downtimes that put their revenue at risk.
When outages happened, nearly as much as 90% of repair time is spent sorting through large volumes of data to narrow down where and what to fix. And Selector makes this process instant and the AI engine directly interfaces with the industry’s first network language model platform so teams can have real-time conversations with their full-stack data in human language to determine precisely where issues originated.
KEY QUOTES:
“Even the slightest performance degradation or downtime is unacceptable for mission-critical infrastructure and services. Solving this problem requires auto-correlating across enormous volumes of data. That’s why we exist. We’ve spent the last five years demonstrating how autonomous AI technology and human network expertise can work together to ensure that the world’s most demanding networks are up, operating, and generating revenue at all times. We’re now ready to scale this work significantly.”
– Selector CEO Kannan Kothandaraman
“Selector is in a position to solve a very expensive problem for very large 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. No other tools on the market can watch their entire corporate infrastructure. Selector, on the other hand, has proven that it can achieve 360-degree visibility across networks–and prescribe action instantly after an incident occurs. This creates a massive opportunity for them as networks rise in importance to enterprises around the world.”
– Allan Jean-Baptiste, Co-founder and General Partner at Ansa Capital, and Selector board member
