Top 39 AIOps Tools SaaS Companies in May 2026

Montreal, Quebec, Canada

Developer of an enterprise software designed to provide the unlimited on-demand provisioning and scalability necessary to meet any production requirements. The company's software addresses the common challenges of adopting hyperscale public clouds such as performance, latency, data compliance and industry regulations and delivers systems that self heal, repair, troubleshoot and prevent issues before they impact users, enabling businesses to build and operate applications and services and regain control of their budget, time and resources.

Redmond, Washington, United States

MontyCloud is a no-code, autonomous CloudOps platform, helping IT teams optimize, operate, and scale high-value cloud services without increasing headcount.

Miami, Florida, United States

Arcee AI is building the next generation of foundation models and tooling for enterprise and industrial-scale AI. Its AFM family of foundation models and vertically-integrated stack help businesses deploy secure, controllable, and cost-effective AI at the edge, in the cloud, or anywhere in between.

Cupertino, California, United States

Kloudfuse is a unified observability platform that integrates with over 700 diverse infrastructures, cloud services, and applications, focused on enhancing application performance and digital operations.

Singapore, Singapore

Founded in 2017, mlytics's goal is to disrupt the cloud industry with Multi CDN technology to provide the best in class reliability, performance, and security solution. mlytics has developed a SaaS platform driven by machine learning technology that can help companies at different scales to optimize websites/web apps.

Mountain View, California, United States

Provider of cloud-based log management and server monitoring platform designed to search terabytes of logs in seconds. The company's platform offers server monitoring, log management, visualization and analysis tools that aggregate all the server logs and metrics into a centralized system in real time and crunches terabytes of logs in less than a second, enabling development operation teams to find and resolve more incidents in less time, all from one screen troubleshooting.

Ithaca, New York, United States

Exostellar is a self-managed, AI Infrastructure Orchestration and Optimization company that focuses on cloud resource optimization and management, utilizing artificial intelligence and machine learning within the cloud computing industry. They help enterprises reduce spending on cloud computing resources.

San Francisco, California, United States

Operant AI is the only Runtime AI Application Defense Platform that actively protects every layer of live cloud and AI applications from infra to APIs. It specializes in runtime application protection for cloud-native environments, offering automatic discovery, analytics, and intelligent runtime enforcement.

San Francisco, California, United States

Middleware is a AI-driven, full-stack cloud observability platform that detects, diagnoses, and automatically fixes issues across your entire system—Kubernetes, logs, traces, metrics, and RUM. Our Ops AI Agentic Mode turns observability into true autopilot by identifying problems and resolving them without human intervention. Engineering teams reduce noise, eliminate manual troubleshooting, and achieve self-healing infrastructure with Middleware. Key Features: * Infrastructure, Kubernetes, APM, Database, Log, Synthetic and Browser Monitoring * Ops AI to detect and fix the issue in real time * Dashboard builder, Alerts, and browser testing. Experience faster, better, and cost-effective observability with Middleware. Join us on the journey to elevate your development and operations processes.