Make sense of every signal instantly

Edwin AI applies agentic intelligence to event streams, correlating incidents, enriching context, and surfacing probable root causes in real time, so you can act before disruption spreads.

Why leading brands choose Edwin AI

Event intelligence that knows what matters and what to do about it

Edwin AI was built to do what traditional AIOps tools can’t—make sense of the noise.

Real-time correlation and enrichment
AI-generated event summaries
Incident prioritization
Full-stack observability integration
Ready to deliver on day one

Real-time correlation and enrichment

Edwin AI ingests alerts from across your stack, correlates related events in real time, and enriches them with business context, so your team sees the full picture without manual digging.

  • Automatic alert grouping Edwin assembles related events into unified, context-rich incidents
  • Context-rich insights Events are tagged with severity, topology, affected services, and change history, so teams know what to prioritize and why.

AI-generated event summaries

Use generative AI to translate raw event data into concise, plain-language summaries, making technical alerts instantly understandable.

  • Human-friendly recaps Even complex issues are distilled into readable briefs, so teams align quickly and act decisively.
  • Root cause and impact analysis Each summary identifies likely causes and affected services, helping you move straight from alert to resolution.

Incident prioritization

Act on what’s urgent, not just what’s loud. With severity scoring, service context, and impact analysis built in, Edwin AI elevates the incidents that matter most and routes them where they belong.

  • Dynamic severity scoring Incidents are ranked by business impact, so critical problems never slip through the cracks.
  • Unified incident hub See alerts, logs, events, and performance signals in one place. No more toggling between tools.

Full-stack observability integration

Edwin AI connects your entire environment—from infrastructure to applications—so the root cause isn’t hidden in a silo.

  • Cross-domain data ingestion Bring in data from 3,000+ sources, including observability tools, CMDBs, ITSM systems, and cloud platforms.
  • Root cause spotlight Edwin AI connects signals across your observability stack—metrics, events, logs, and traces—to find the most probable cause, enriched with topology and service context to drive confident action.
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Ready to deliver on day one

Edwin AI starts correlating events with production data immediately. No training cycles, no complex tuning, just fast time to insight.

  • Out-of-the-box Event Intelligence Start correlating alerts and generating plain-language summaries fast. Edwin’s models are designed for real-world ITOps environments.
  • Fast, flexible setup With native integrations, bi-directional ITSM sync, and intuitive dashboards, Edwin fits seamlessly into your existing workflows.

Edwin AI: Built to deliver impact

Event Intelligence from Edwin AI is reshaping how IT teams manage signals—cutting alert volume, clarifying what matters, and helping operations move faster with less effort.

0 %
less incident workload
> 0
hrs saved per incident
0 %
reduction in MTTR

Event Intelligence by Edwin AI

Cut the noise and the real issue fast

 Edwin AI’s Event Intelligence interprets streams of alerts as they happen, giving ITOps teams a clear view of what’s unfolding and where to act.

< 1 hour

to correlate alerts, deliver insight

POWERING LEADING GLOBAL BRANDS

Edwin AI Integrations

Make every system smarter with Edwin AI

Edwin AI connects with over 3,000 tools—spanning observability, APM, security, and CMDB—to turn disconnected data into real-time, actionable insight. Whether you’re managing legacy systems or hybrid cloud environments, Edwin brings it all together to speed up incident response and eliminate silos.

3000+

pre-built integrations across your full tech stack

100%

bi-directional sync with ITSM platforms like ServiceNow

Your AI Agent for ITOps

Edwin AI simplifies incident response at scale

Edwin AI helps IT teams keep systems running smoothly by making sense of complex signals and acting on them quickly. It connects across your tools, understands what’s happening, and helps resolve issues before they slow anything down.

Strategic AI Partnership

AI-powered data center operations with LogicMonitor and OpenAI

LogicMonitor’s collaboration with OpenAI brings advanced AI reasoning to ITOps, reducing manual effort and improving uptime across modern data center environments.

Hear from Edwin AI Customers

Leading ITOps teams win with Edwin AI

See how real teams are using agentic AIOps to make their operations more efficient, prevent outages, and reclaim their time.

"LogicMonitor helps us succeed by being a true partner."

Andrea Curry
Director, Observability & Scheduling of McKesson
McKesson

"Edwin AI will be 100x faster than a human and able to manage complex problems."

Gaël Grootaert
Group Director, Managed Services of Devoteam
Devoteam

"Edwin AI is not another AI tool, but an essential part of our IT team."

Jesse Cardinale
IT Infrastructure Lead of Chemists Warehouse
Chemists Warehouse

"The sheer power of LogicMonitor’s monitoring capability is amazing."

John Burriss
Senior IT Solutions Engineer of RaySearch Laboratories
RaySearch Laboratories

Your next-level IT operations start here

Book a live demo to see how Edwin AI automates correlation, resolution, and escalation—freeing your team to focus on what matters most.

GET ANSWERS

FAQs

Get answers to common questions about Event Intelligence from Edwin AI.

How hard is it to get started with LM Logs?

It’s surprisingly simple. LM Logs works out of the box with syslog, Fluent Bit, Fluentd, cloud sources like AWS CloudWatch and Azure Monitor, and more. You can start ingesting logs in minutes using LM Envision’s built-in collectors, or route logs via Cribl or the API for advanced control.

Do I need to know how to write queries?

Nope. LM Logs surfaces log anomalies, patterns, and insights automatically. You can drill down, correlate with metrics, and filter all without query language knowledge. For advanced users, our query bar supports regex, saved searches, and tracked queries, but they’re completely optional.

Can I control which logs are ingested (and how much I store)?

Absolutely. You can filter logs before ingestion using Cribl or Fluent Bit, route specific sources to different partitions, and set retention by log type. LM Logs gives you full control to reduce noise and manage cost without sacrificing visibility.

How are logs mapped to monitored devices?

Logs are automatically enriched and mapped to your monitored resources using hostname, IP, or device properties. This mapping powers our in-context troubleshooting workflows, so alerts, metrics, and logs show up together where they matter most.

Do I need a dedicated logging team to get value from LM Logs?

Not at all. LM Logs is built for ITOps teams of any size or skill level. With anomaly detection, guided log analysis, and intuitive workflows, even junior responders can investigate issues confidently. And for power users, the platform scales with advanced search, alerting, and integrations when you’re ready.