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Top 39 AIOps Tools SaaS Companies in May 2026

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.

Companies
39
Revenue
$338.3M
Funding
$411.9M
Employees
2.1K

Filters

Sorting: Highest -> Lowest

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Top AIOps Tools Companies

Showing 10 of 8 companies ranked by annual revenue.

1
Atheni.ai

London, United Kingdom

Atheni. ai : Your AI Sidekick - a personal SatNav for an AI -Powered World Atheni is the missing navigation mid-layer for an AI -powered world. We’re not another AI tool - we’re the infrastructure that makes all tools work. Atheni sits across platforms like ChatGPT, Claude, Copilot, and Gemini - orchestrating...

Revenue
$880K
Customers
-
Year founded
2024
Funding
-
Team size
8
Growth
-
2
Blue Medora

Grand Rapids, Michigan, United States

We’re the company that set the standard for enterprise-grade integration for IT monitoring. We believe that data is dimensional, not flat, and health and performance metrics must include their relationship to other components in the IT stack to truly provide insights. We deliver this Dimensional Data using the industry’s first IT monitoring integration service (MIaaS), BindPlane. For more information, visit bluemedora.com.

Revenue
$770K
Customers
-
Year founded
2007
Funding
-
Team size
7
Growth
-
3
WatchMyDC Analytics OY

Tampere, Finland

WatchMyDC is an enterprise IT automation platform. WatchMyDC offers Reliability as a Service and continuous business flow.

Revenue
$635.1K
Customers
-
Year founded
2020
Funding
$395K
Team size
3
Growth
-13.6%
4
UNRYO

Montreal, Quebec, Canada

Unryo is a company that provides performance monitoring tools for IT infrastructure. They specialize in hybrid and multicloud monitoring, as well as addressing edge computing challenges with their cloud solutions.

Revenue
$447.5K
Customers
-
Year founded
2017
Funding
-
Team size
6
Growth
26.5%
5
Visnet AI Technology Pvt Ltd.

Hyderabad, Telangana, India

Redefines infrastructure management with scalable neural network technology, ensuring precise defect detection and maintenance efficiency. Tailored for growth, our platform adapts to your evolving needs, setting a new standard for smart, scalable inspection.

Revenue
$440K
Customers
-
Year founded
-
Funding
-
Team size
4
Growth
-
6
Metoro

London, England, United Kingdom

Instant in-depth observability for services running in kubernetes

Revenue
$330K
Customers
-
Year founded
2023
Funding
-
Team size
3
Growth
-
7
Logit.io

Denton, England, United Kingdom

Logit.io is a log analysis platform that provides observability built on hosted OpenSearch and Jaeger. It offers industry-leading log analysis tools and features for users to analyze and monitor their logs effectively.

Revenue
$274.3K
Customers
1K
Year founded
2013
Funding
-
Team size
8
Growth
26.5%
8
Heili

Berlin, Germany

Heili is a self-learning, AI-driven cloud infrastructure management solution

Revenue
$87.7K
Customers
-
Year founded
2015
Funding
-
Team size
1
Growth
-

Inclusion Criteria

- 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

AIOps Tools SaaS Companies | GetLatka