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Selector Software raises $33M funding round to fix network outages with AI - SiliconANGLE
Selector Software raises $33M funding round to fix network outages with AI Artificial intelligence-native network monitoring startup Selector Software Inc. said today it has closed on a $33 million round of funding, bringing its total amount raised to date to more than $66 million. Today's Series
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Selector automatically spots IT issues and recommends fixes
AIOps, short for artificial intelligence in operations, is a process that uses AI to automate IT tasks. More organizations are embracing it as AI commodifies, yet adoption is still lagging. According to a recent IDC survey, almost half of companies said that they were just getting started in AIOps,
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Selector Software, an AI-native network monitoring startup, has raised $33 million in Series B funding to enhance its AI-powered event intelligence platform, which aims to quickly identify and resolve network outages for enterprises and telecom providers.

Selector Software Inc., an artificial intelligence-native network monitoring startup, has successfully closed a $33 million Series B funding round, bringing its total funding to over $66 million
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. The round was led by Ansa Capital, with participation from existing investors Two Bear Capital, Atlantic Bridge, and Sinewave Ventures, as well as new investors including AT&T, Bell, Singtel Innov8, and Hyperlink Ventures1
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.Selector's core offering is an AI-powered event intelligence platform designed to provide deep insights and visibility into complex networks and application infrastructures. The platform aims to help telecommunications providers and enterprises quickly identify the source of network problems, significantly reducing downtime
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.As enterprises migrate critical systems to the cloud and adopt new technologies, they face increased complexity and more frequent outages. Selector's platform tackles a crucial pain point: the fact that up to 90% of repair time is typically spent locating the origin of an outage
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.The platform creates a digital twin of an organization's infrastructure by interfacing directly with their network language model. This allows for:
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Co-founders Kannan Kothandaraman and Nitin Kumar, former Juniper Networks executives, have assembled a team of network and large language model experts from companies like Cisco Systems, Meta Platforms, Nutanix, and VMware
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.Selector claims to have already deployed its technology with several large enterprises, including Canada's largest telecommunications company and a leading provider of managed software-defined networking services
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. The company currently has around 40 customers, including AT&T, Bell Canada, and Singtel2
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The new funding will be used to:
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Selector is positioning itself in the rapidly expanding AIOps (Artificial Intelligence for IT Operations) market. According to estimates, this sector is expected to grow from $25.24 billion in 2023 to $213.66 billion by 2033
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. Despite this growth potential, a recent IDC survey indicates that AIOps adoption is still in its early stages, with almost half of companies just getting started and a third having roadmaps but significant work ahead2
.While Selector faces competition from companies like Keep, Senser, BigPanda, and established players such as New Relic and ServiceNow, the growing market provides ample opportunity for innovative solutions
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. Selector's focus on simplifying complex data and providing actionable insights positions it well in this competitive landscape.Summarized by
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