Analyst(s): Ron Westfall
Publication Date: April 8, 2025
Selector’s main proposition is to provide a breakthrough AIOps platform that delivers instant, real-time, actionable insights for managing multi-domain network and application infrastructures.
What is Covered in this Article:
- NFD37 showed how Selector combines copilots, RCA, and Operational Twins to streamline operations and ensure teams work at peak efficiency.
- How Selector solutions can talk to the network infrastructure, assist with troubleshooting and automation, and gain insights into the state of systems.
- How Selector uses AI to assist with automatically detecting, diagnosing, and remediation of network issues to create a self-healing network.
- Why integrate AI copilots and RCA into environments and glean data from the network to help build more robust solutions to automation challenges?
The News: Selector.ai, an AIOps (Artificial Intelligence for IT Operations) platform developed by Selector Software, Inc., is designed to provide real-time, actionable insights for managing multi-domain network and application infrastructures. At Networking Field Day 37, Selector showed how Copilots, Root Cause Analysis (RCA), and Operational Twins work together to enhance network performance, streamline troubleshooting, and optimize overall efficiency.
NFD37: Selector Elevates AIOps to the Next Level
Analyst Take: Selector (or Selector AI), at Networking Field Day 37, demonstrated its strategic aim of simplifying and enhancing IT operations by making advanced AI-driven insights accessible and actionable for network, cloud, and application management. The company is headquartered in Santa Clara, California, founded in 2019 by former Juniper Networks executives Kannan Kothandaraman and Nitin Kumar. Selector uses AI and machine learning to collect, correlate, and analyze data from diverse sources across multi-cloud environments, data centers, and performance-sensitive managed services, such as network telemetry, logs, metrics, and events.
Selector serves a wide range of industries, including telecommunications, healthcare, financial services, retail, and media, with notable clients among Fortune 500 companies. The company has raised significant funding, including a $33 million Series B round in 2024, backed by investors like Ansa Capital, Two Bear Capital, and Comcast Ventures, to fuel its growth and global expansion. Its mission is to transform IT operations by minimizing human error, enhancing network resilience, and enabling data-driven decision-making.
The company’s purpose-built Kubernetes-native platform directly addresses IT demands in optimizing networking AIOps across swiftly expanding hybrid cloud environments. Selector AI is designed for today’s hybrid cloud and networking ecosystem using cloud infrastructure analytics, network infrastructure health, cross-domain events, and correlation analytics. Selector’s ongoing success is underpinned by its ability to tailor fulfilling customer needs by providing solution engineering and data science expertise.
Selector: Breakthrough Platform Enables Customers to Determine AIOps Destiny
The Selector platform aims to simplify IT operations by offering features like automated anomaly detection, root-cause analysis (RCA), and natural language querying, often integrated with collaboration tools like Slack and Microsoft Teams. It provides a unified view of network, application, and infrastructure performance, helping IT teams troubleshoot issues faster, reduce downtime, and improve operational efficiency. I believe key innovations include the industry’s first Network Language Model (NLM), digital twin capabilities for scenario simulation, and native full-stack monitoring, all of which consolidate observability and analytics into a single interface.
Selector Product Marketing Evangelist John Capobianco, with integral support from VP of Product Management Kevin Kamel, spotlighted the company’s vision to transform IT operations by cultivating the power of AI to create a world where intricate network, cloud, and application infrastructures are confidently managed and optimized. Selector aims to empower IT teams with a unified, intelligent platform that delivers real-time, actionable insights, enabling organizations to achieve unparalleled operational efficiency, reliability, and performance.
Through breaking down silos and transforming vast, multi-domain data into clear, accessible intelligence, Selector AI envisions a future where downtime is virtually eliminated, issues are resolved proactively, and IT operations become a strategic driver of business success rather than a reactive challenge. The company’s strategic objective is to set a new standard for AIOps, making advanced technology intuitive and impactful for operators across industries.
Selector Spurs AI-driven Infrastructure Management Innovation
Selector is delivering breakthroughs that help underpin the shift toward AI-driven infrastructure management by integrating copilots, RCA, and Operational Twins into a unified platform that streamlines operations and boosts efficiency. RCA is enhanced through Selector AI’s platform, which correlates data across network, cloud, and application layers. This unified view pinpoints the source of issues more accurately than traditional siloed tools, cutting down the mean time to detection and resolution (MTTD/MTTR). The result is less downtime and more reliable infrastructure, which is critical for businesses facing growing operational demands.
Selector’s NLM enables operations teams to swiftly interpret data from diverse sources, such as alerts, emails, and logs, reducing manual effort and speeding up decision-making. Minimizing false positives and focusing on critical issues can ensure teams respond swiftly and more cogently.
Selector’s Operational Twins enhanced digital twin technology takes this further by enabling predictive capabilities. Teams can run “What-If” scenarios to anticipate network behavior, identify potential failures before they occur, and optimize performance across all layers. This proactive approach shifts operations from reactive firefighting to strategic management, improving uptime and customer satisfaction.
By consolidating monitoring, observability, and multi-domain operations into a single interface, Selector AI eliminates the reliance on disjointed tools by simplifying workflows that can ensure teams operate at peak efficiency. The company’s programmable synthetic sensors also provide visibility into application performance, tying it directly to infrastructure health, which helps prevent user-facing issues and protect revenue.
Looking Ahead
Overall, Selector has earned trust and greater customer traction in adopting and scaling its solutions by building AI into its overall portfolio from the company’s inception. As a result, IT and AIOps decision makers should keep a close eye on Selector for several key developments that could shape their infrastructure management strategies. Selector AI has positioned itself as a frontrunner in the AIOps space by integrating cutting-edge technologies that address operational complexity and efficiency, and its ongoing innovations are worth monitoring.
Selector AI’s blend of NLM, Operational Twins, and programmable synthetics, paired with its unified AIOps vision, offers decision-makers a compelling toolkit to automate network operations and boost efficiency. Tracking these innovations, especially their real-world impact on downtime, cost, and team productivity, will be key to understanding their strategic value in driving improved business outcomes.
What to Watch:
- Selector’s NLM promises to reduce manual analysis time, cut through noise with fewer false positives, and accelerate issue resolution, providing breakthroughs for operational responsiveness.
- The ability of Selector’s Operational Twins to simulate and predict across network, cloud, and application layers can make risk management integral to boosting business outcomes.
- IT decision-makers should watch how Selector refines programmable synthetic sensors, as it could bridge the gap between application and network operations, offering a more holistic view of system performance and potentially reducing revenue risks tied to downtime.
- Watch for new deployments, such as its upcoming availability on the Google Cloud Marketplace in 2025, which could simplify procurement and integration into existing cloud ecosystems.
See the complete Selector AI presentation on Network Automation at the Tech Field Day website.
Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.
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Author Information
Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.
He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including a wide range of topics across software and services, infrastructure, 5G communications, Internet of Things (IoT), Artificial Intelligence (AI), analytics, security, cloud computing, revenue management, and regulatory issues.
Prior to his work with The Futurum Group, Ron worked with GlobalData Technology creating syndicated and custom research across a wide variety of technical fields. His work with Current Analysis focused on the broadband and service provider infrastructure markets.
Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.
