Ansa Capital Leads Raise to Fuel Expanded Adoption of AI Solution That Automates Mission Critical Operations for Network-Driven Companies. New investors include AT&T Ventures, Bell Ventures, Singtel Innov8 and Hyperlink Ventures.

November 19, 2024 09:00 AM Eastern Standard Time

SANTA CLARA, Calif.–(BUSINESS WIRE)–Selector, the AIOps solution that gives the world’s largest companies complete visibility and intelligence into their highly complex networks, infrastructure and applications, today announces the close of its $33M Series B funding round. The round was led by Ansa Capital, a New York City-based venture capital firm that invests in enterprise software companies at the forefront of new markets, systems, and optimized distribution models. 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 investment brings Selector’s total funding to more than $66 million.

Founded 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. 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 use 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. It will additionally expand its geographic footprint with new offices and staff across the US, Canada, Europe, Singapore, India, and Japan.

The world’s largest companies are now network-driven.

Companies across 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. The number of technologies they’re using is also increasing, resulting in more frequent and complex outages. Their teams, however, lack the scale and time to manually troubleshoot and fix these growing issues quickly–often leading to downtimes that put their revenue at risk.

Up to 90% of repair time–and downtime–is spent trying to find the origin of issues.

When incidents and outages occur, as much as 90% of repair time is spent sorting through enormous volumes of data to narrow down where and what to fix. Selector makes this process instantaneous. Its AI engine directly interfaces with the industry’s first network language model platform so that teams can have real-time conversations with their full-stack data in human language to determine precisely where issues originated.

“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,” said Selector CEO Kannan Kothandaraman. “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’s investors, which now include major telecommunications companies that are directly benefiting from its solution, see the expansive potential that solving this problem will create–both for users and the technology company itself.

“Selector is in a position to solve a very expensive problem for very large companies,” said Allan Jean-Baptiste, Co-founder and General Partner at Ansa Capital, and Selector board member. “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.”

Selector is the first and only solution in the industry that’s focused specifically on networks. In the last year alone, Selector has been recognized by Gartner in multiple Hype Cycle reports for its AI-driven Event Intelligence Solution. It is also a part of the Google Cloud Network Observability Ecosystem.

About Selector

Selector is an AIOps solution that gives the world’s largest companies complete visibility and intelligence into their highly complex networks, infrastructure, and applications. Leading telecommunications companies, cloud service providers (CSPs) and enterprises across industries use the company’s technology to ensure their networks are up, operating and generating revenue. It achieves this by eliminating the 90% of repair time teams spend manually identifying the origins of incidents and outages. Selector’s AI engine interfaces directly with its industry-first network large language model (NLM) to sort through enormous volumes of data autonomously, making troubleshooting instantaneous. Now, for the first time ever, network teams are able to have real-time conversations in human language with all their data across warehouses and tooling to fix issues exponentially faster.

Selector’s AIOps and Event Intelligence solution has been recognized by Gartner in multiple Hype Cycle reports. Founded in 2019, Selector is backed by Two Bear Capital, Atlantic Bridge Ventures, Sinewave Ventures, Ansa Capital, Singtel Innov8, Hyperlink Ventures, AT&T Ventures, Bell Ventures, Comcast Ventures and others.

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