PRODUCTS • AIOPS

AIOps and Observability in One Powerful Platform

Harness AI-driven correlation and root cause analysis to transform IT operations. Use a conversational interface to surface insights and summarize incidents, or model your IT environment to pinpoint failure points and explore “what-if” scenarios.

See it in action

Reduce ticket volume and alerting fatigue

Leverage causal ML to automatically correlate anomalies, identify the probable root cause, and enable faster incident response
Suppress noisy and redundant alerting, decreasing alerting volume, and freeing the team to prioritize, triage, and resolve incidents faster
Simplify alerting rule management with ML-driven baselining, eliminating the need to manually set, manage, and tweak rules

Slash downtime with automated remediation

Integrate with popular ticketing and ITSM platforms like ServiceNow, JIRA, and others to auto-consolidate incidents and streamline incident management
Automatically trigger workflows and playbooks to remediate the identified root cause and close the incident
Leverage GenAI-driven remediation suggestions to resolve incidents faster and more accurately

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Forget Wireshark. Now you can chat with your packets with Selector Packet Copilot.

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Consolidate tools, simplify operations

Streamline operations with a single pane of glass, unifying the telemetry from across your IT ecosystem for faster issue detection, and accelerated resolution
Reduce costs by addressing tool sprawl and eliminating duplicative and ineffective legacy tooling
Spend less time managing and maintaining tools and focus on proactive quality initiatives

Optimize performance by simulating ‘What-If Scenarios’

Model and analyze IT and business processes to streamline operations, derisk new technologies, reduce iteration, and enhance overall productivity
Enhance decision-making by analyzing simulation data to ensure IT strategy aligns with the overall business objectives
Plan for future growth by anticipating capacity needs, proving scalability, and ensuring resourcing can adapt to changing demands.

Absolutely fantastic company. Their approach to intelligent network monitoring and analytics is unique and refreshing. I can’t recommend them highly enough. I honestly get excited by weekly catch-up calls because of the possibilities.

John Neiberger
Principal Engineer, Comcast

Additional Resources

A Maturity Model for Network AIOps

Chelsea Rio / January 18, 2024 / Page
A Maturity Model for Network AIOps AIOps is ushering in a new era in which enterprise operations are fully autonomous…
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Infrastructure as Code: Microservices with Kubernetes at Selector

March 4, 2025 / Webinar
Join Varija Sriram, Head of Application and Data Engineering at Selector, and John Capobianco, Product Marketing Evangelist at Selector AI, as they discuss how Kubernetes and microservices power Selector AI’s cloud-native architecture.
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Unlocking the Power of LLMs and AI Agents for Network Automation

Dallon Robinette / May 2, 2025 / Post
Artificial intelligence is reshaping how enterprises manage and secure their networks, but not all AI is created equal, and not…
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