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Machine-Learning Driven AI Ops for your Full Stack.

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Detect Problems Earlier & Troubleshoot Faster

Reduce Noise & Boost Team Productivity

Lower Risk & Improve Customer Experience

  • With Incident.MOOG, we are able to quickly adapt to frequent changes to IT architecture with little reliance on static rules and models.

    – Harry Manley, Head of Customer Support, RetailNext

  • Incident.MOOG was initially deployed as a layer on top of our legacy event management systems but is now completely replacing those legacy systems.

    - Manager, Incident Operations, Global Internet Service Provider

  • Incident.MOOG’s machine learning and socialized workflows are the future of service assurance.

    – Kalyan Kumar, SVP and Chief Technologist, ITO at HCL Technologies

  • I would describe Incident.MOOG as Magic - it’s a tool for the here, now, and future.

    – Systems Management & Tool Architect, Global Digital Insurance Provider

  • The critical value of Incident.MOOG is in ‘story’ of the progression of the incident across multiple NOCs, domains and countries - and the ability to ensure all stakeholders are aware of the situation.

    – VP of Service Assurance, Telecom Service Provider

  • Incident.MOOG’s flexibility has allowed our service-aligned operations teams to restore services faster without having to change existing processes or organization.

    – VP, Global Data Center Operations, Global Financial Institution

The Problem We Solve

Moogsoft Business Value

Reduce Time

Reduce Time

Reduce Time-To-Detect by 75%

Reduce Time-To-Restore by 75%

Reduce Noise

Reduce Noise

Reduce Event Noise by 99%

Reduce Number of Incidents

Reduce Costs

Reduce Costs

Reduce Revenue Risk

Reduce Legacy MoMs

Customer and Market Validation

Over 2,000,000 Hosts Under Management Across Critical Production Environments

Some of Our Customers

RBC Royal Bank
Go Daddy

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