As of May 2026, there are 39 SaaS companies in AIOps Tools. They have combined revenues of $338.3M and employ 2.1K people. They have raised $411.9M and serve 3.8K customers combined.
AIOps tools utilize artificial intelligence to enhance IT operations by automating and optimizing workflows. These tools analyze vast amounts of data from various IT systems to generate insights, enabling organizations to identify patterns, predict issues, and respond to incidents more effectively. Primary use cases include anomaly detection, performance monitoring, root cause analysis, and incident management, helping organizations to maintain optimal system performance and user experience. The typical features of AIOps tools include machine learning capabilities, data ingestion from multiple sources, real-time analytics, and advanced visualization. End-users of AIOps span various roles, predominantly within IT operations and DevOps teams, but also extend to IT management and business analysts who rely on insights for decision-making. As IT environments become increasingly complex, AIOps is becoming a critical component for organizations aiming to leverage data-driven approaches to manage their IT operations efficiently.
Sorting: Highest -> Lowest
Showing 10 of 17 companies ranked by annual revenue.
Grand Rapids, Michigan, United States
BindPlane builds cutting edge observability tools for businesses, private users, and open source projects. Our mission is to advance observability technology through promoting and contributing to open source communities. We are a proud partner of the OpenTelemetry project. Docs: https://docs.bindplane.observiq.com/docs/about
Palo Alto, California, United States
Provider of an infrastructure performance management platform for the cloud. The company's platform creates a system that handles routine tasks autonomously, alerts the operator to anomalies and can be adjusted for different operating characteristics depending on the priorities, enabling cloud IT organizations to manage cloud infrastructure for maximal efficiency while ensuring that customer satisfaction is high.
Reading, Berkshire, United Kingdom
ITRS Opsview unifies observability into dynamic IT operations on-premises, in the cloud or hybrid. As an integral part of the ITRS Observability & Monitoring platform, ITRS Opsview is known for its easy integration and outstanding customer support and is trusted by hundreds of businesses, government organizations and service providers globally.
Burlingame, California, United States
Give every engineer reliability superpowers. Stanza is on a mission to make reliability not just a privilege of the world's largest and most successful technology companies, but a standard accessible to anyone building software. Stanza’s Infrastructure Responsive Design is an application-layer approach enabling systems to adapt to changing needs and conditions end to end, through efficient resource allocation at the client and edge as well as the server. Your most critical customer interactions and user journeys always take priority, keeping your key experiences running smoothly even during peak traffic periods or in the face of lost system capacity. Stanza provides an exceptional customer experience without costly infrastructure changes or extra team members.
Halifax, Nova Scotia, Canada
Developer of technologies for monitoring and managing remote business-critical infrastructure. The company's monitoring platform integrates Industrial IoT (IIoT) technologies to provide continuous insight that helps to minimize downtime, risk, disruptions and maintenance costs. It's real-time analytics provide organizations with digital operational data to address problems quickly or avoid them.
Israel
Until recently, IT teams used manual network tools and a reactive approach to network emergencies. MSPs and large multi-site enterprises can no longer afford the costs and loss of productivity due to unreliable networks. Realizing the need for a proactive approach to network operations, at NetOps we developed our AI-powered, end-to-end solution to keep critical business networks healthy. Unlike other network management tools, our AIOps SaaS solution predicts, recommends and takes action to remediate network issues as they arise. These actions can be configuration changes on network equipment, or recommendations for the NOC or IT manager, depending on the company's policy regarding automation. With its intent-based workflow automation, you can automate operational procedures easily and quickly instead of working with scripts that need to be edited and updated for every network change. Join our community of partners and influencers that are testing the latest versions of NetOp by regis
Netanya, Israel
Developer of performance analytics technologies designed to focus on developing an unique self learning behavioral analysis technology for optimizing mainframe performance. The company's technologies utilize proprietary mathematical models and self-learning algorithms, offer real time tracking of critical resource behavioral patterns and predicts abnormal behavior of these resources before it occurs, enabling businesses to predict performance problems, helps to solve them the first time they occur and prevent their recurrences.
Boston, Massachusetts, United States
Developer of software intended for Smart City, Public Safety and Critical Infrastructure networks. The company offers a scalable, cost-effective network visibility solution, enabling IT and security teams to optimize performance issues and detect threats on smart networks as they emerge and prevent attacks before they occur.
Vancouver, British Columbia, Canada
Hyperview is DCIM re-invented. An infrastructure intelligence SaaS platform that empowers midsize enterprises with real-time insights to reduce cost, reduce risk and increase revenue of hybrid IT environments from data centers to the cloud. Our mission is to make critical infrastructure think. A Deloitte Technology Fast 500 recipient.
- Must leverage artificial intelligence and machine learning to analyze IT data - Should provide functionalities for anomaly detection and performance monitoring - Must integrate data from multiple sources to generate actionable insights - Should facilitate incident management through automated root cause analysis - Not just alerting; must also enable proactive problem solving and predictive maintenance - Must support real-time analytics to assist with immediate decision-making - Should offer visualization tools for better data representation and understanding
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