OrionIQ is an agentic observability platform that uses AI agents to detect, investigate, and resolve production issues automatically. It connects to your existing observability, incident management, and security tools to turn signals into action and reduce manual operational work.

How is OrionIQ different from traditional observability tools?

Traditional observability tools focus on visibility such as logs, metrics, and traces. OrionIQ goes further by taking action. Its AI agents investigate incidents, execute workflows, and drive remediation automatically, reducing manual triage and operational toil.

What is NOC automation?

NOC automation uses software, workflows, and AI-driven systems to automate routine operational tasks such as alert investigation, incident triage, ticket handling, and remediation. The goal is to reduce manual effort, improve response times, and help operations teams manage growing infrastructure without increasing headcount.

How does NOC automation help reduce incident response times?

NOC automation can automatically collect relevant logs, metrics, traces, and other operational data when an alert occurs. By eliminating manual investigation steps and standardizing response processes, teams can identify root causes faster, reduce mean time to resolution (MTTR), and resolve incidents more consistently.

Can NOC automation work with existing observability and incident management tools?

Yes. Most modern NOC automation platforms are designed to integrate with existing observability, monitoring, and incident management solutions. This allows organizations to automate investigation and response workflows without replacing their current tools or disrupting established operational processes.

NOC Use Case

Your NOC scales linearly with alert volume. Your budget doesn't.

Alert Overload

Problem: Alert noise drowns real incidents.
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OrionIQ: Investigates alerts across logs, metrics, and traces automatically.

Triage Latency

Problem: Manual triage adds 10–30 minutes to every ticket
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OrionIQ: Identifies root cause and surfaces the fix

Capacity Drain

Problem: Repetitive L1/L2 work consumes the team's capacity
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OrionIQ: Executes remediation workflows and operational playbooks automatically.

Modern observability shows you the problem. It doesn't act on it.

Customer Case Study:
_{$7 → $2 per ticket}

A production deployment cut ticket handling costs by 75%, reduced MTTR, and standardized response across three shifts.

“The agent uncovered issues that were not visible during the initial manual investigation."
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“Logz.io AI Agent enabled us to launch a 24/7 service operation with the clarity of service health and stability we needed. It shortened our troubleshooting time from hours and minutes to minutes and seconds.”‍

Yossi Cohen
Senior AI & Operations Engineer, ThetaRay

How OrionIQ
Automates Your NOC

Connect your observability stack: Logz.io, Datadog, Grafana, Splunk, etc.

Seamlessly integrate your existing observability stack
without disrupting your current workflow.

Alerts trigger AI-driven investigation across logs, metrics, and traces

Empower AI to instantly correlate logs, metrics, and traces, cutting through alert noise
to surface root causes in seconds.

Agents run your runbooks and follow your operational policies

Offload routine remediation to autonomous agents that execute your verified playbooks
and guidelines around the clock.

Your team handles judgment calls, not toil

Free your engineers from repetitive toil by ensuring human intervention is reserved
only for high-value judgment calls.

Over 600 Secure Integrations

OrionIQ brings AI agents into your existing stack, connecting observability, incident response, and security into workflows developers have been asking for: automated and end-to-end.
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With OrionIQ, teams eliminate up to 90% of operational toil across DevOps tools, productivity systems, and custom environments.