Selector 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.
Selector's AI engine directly interfaces with a 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.”
The Latest
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...