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Selector Closes $33M in Funding

Selector announced Series A round for $28 million, bringing total funding to $33M.

The company was founded in 2019 by former Juniper Networks executives and industry veterans, Kannan Kothandaraman and Nitin Kumar. Selector Analytics provides hyper speed-to-value for operations with usable AIOps and zero-touch analytics across any and all data. This round of funding was led by Two Bear Capital, SineWave Ventures, and Atlantic Bridge. Comcast Ventures and Azure Capital Partners are also investors in the company. The new funds will be used to execute Selector’s go-to-market (GTM) strategy, invest in R&D, and expand its market reach in North America. The platform is already successfully deployed by multiple Fortune 500 customers.

This announcement marks the official launch of Selector Analytics, which normalizes clusters and correlates metrics, logs, configuration, events, and alerts from multi-cloud network, application, and security data sources. The platform delivers actionable insights through an intuitive user experience that enables operations to proactively diagnose and remediate issues. Unique to Selector Analytics is the ability to use popular collaboration tools such as Slack and Microsoft Teams, and get insights in seconds using natural language. Such Google-like simplicity eliminates hours of painstaking data hunting and gathering, enabling teams to improve mean time to repair (MTTR) while increasing efficiency, slashing operational overhead and eliminating downtime.

Two Bear Capital, SineWave Ventures and Atlantic Bridge invested in Selector because of the team’s extensive experience and deep domain expertise in networking, applications, and machine learning. The platform’s ability to ingest all manner of data from any data source and provide actionable observability is critical to teams working on multicloud infrastructures.

“At Selector, we have assembled a world-class team looking to transform the AIOps space. By merging networking, AIOps, and observability into a single platform, Selector is approaching the space uniquely. Our mission is to eliminate downtime and empower operations with tools to be more efficient and productive in their jobs,” said Kannan Kothandaraman, Co-Founder and CEO, Selector. “Our customers are having amazing success with the platform and are expanding to new problems they once thought unsolvable.”

Multicloud services are critical to the next phase of internet growth and the economy as a whole. The ability to rapidly triage complex cloud environments requires instant analysis across multiple domains, which is costly and time-consuming to achieve using manual methods for data aggregation and event correlation. Historically, operations teams have had to cross both organizational and tool boundaries to draw actionable insights using many static dashboards – a reactive, often ineffective approach. By contrast, Selector Analytics empowers operations teams to instantly detect anomalies in an environment of increasing complexity and criticality, and maximize the potential of multicloud.

“Existing monitoring solutions are single-domain, manual, and complex, making rapid event correlation and analysis tedious, frustrating, and often impossible,” said Nitin Kumar, Co-Founder and CTO of Selector. “Selector abstracts all of that complexity and enables automated remediation using elastic data ingestion, declarative transformations, and data-centric machine learning.”

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Selector Closes $33M in Funding

Selector announced Series A round for $28 million, bringing total funding to $33M.

The company was founded in 2019 by former Juniper Networks executives and industry veterans, Kannan Kothandaraman and Nitin Kumar. Selector Analytics provides hyper speed-to-value for operations with usable AIOps and zero-touch analytics across any and all data. This round of funding was led by Two Bear Capital, SineWave Ventures, and Atlantic Bridge. Comcast Ventures and Azure Capital Partners are also investors in the company. The new funds will be used to execute Selector’s go-to-market (GTM) strategy, invest in R&D, and expand its market reach in North America. The platform is already successfully deployed by multiple Fortune 500 customers.

This announcement marks the official launch of Selector Analytics, which normalizes clusters and correlates metrics, logs, configuration, events, and alerts from multi-cloud network, application, and security data sources. The platform delivers actionable insights through an intuitive user experience that enables operations to proactively diagnose and remediate issues. Unique to Selector Analytics is the ability to use popular collaboration tools such as Slack and Microsoft Teams, and get insights in seconds using natural language. Such Google-like simplicity eliminates hours of painstaking data hunting and gathering, enabling teams to improve mean time to repair (MTTR) while increasing efficiency, slashing operational overhead and eliminating downtime.

Two Bear Capital, SineWave Ventures and Atlantic Bridge invested in Selector because of the team’s extensive experience and deep domain expertise in networking, applications, and machine learning. The platform’s ability to ingest all manner of data from any data source and provide actionable observability is critical to teams working on multicloud infrastructures.

“At Selector, we have assembled a world-class team looking to transform the AIOps space. By merging networking, AIOps, and observability into a single platform, Selector is approaching the space uniquely. Our mission is to eliminate downtime and empower operations with tools to be more efficient and productive in their jobs,” said Kannan Kothandaraman, Co-Founder and CEO, Selector. “Our customers are having amazing success with the platform and are expanding to new problems they once thought unsolvable.”

Multicloud services are critical to the next phase of internet growth and the economy as a whole. The ability to rapidly triage complex cloud environments requires instant analysis across multiple domains, which is costly and time-consuming to achieve using manual methods for data aggregation and event correlation. Historically, operations teams have had to cross both organizational and tool boundaries to draw actionable insights using many static dashboards – a reactive, often ineffective approach. By contrast, Selector Analytics empowers operations teams to instantly detect anomalies in an environment of increasing complexity and criticality, and maximize the potential of multicloud.

“Existing monitoring solutions are single-domain, manual, and complex, making rapid event correlation and analysis tedious, frustrating, and often impossible,” said Nitin Kumar, Co-Founder and CTO of Selector. “Selector abstracts all of that complexity and enables automated remediation using elastic data ingestion, declarative transformations, and data-centric machine learning.”

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...