SuperOps vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
SuperOps raised $25M Series C in January 2025 (total $54.4M); tripled customers in one year; expanded to 104 countries; launched AI-powered Endpoint Management tool for internal IT teams alongside its MSP platform.
About
SuperOps is a cloud-native IT management platform purpose-built for managed service providers (MSPs) and internal IT teams. Founded in 2020 and headquartered in San Jose, California, SuperOps provides a unified suite that combines professional services automation (PSA), remote monitoring and management (RMM), and IT documentation in a single AI-native platform. Its solution replaces the fragmented combination of legacy tools — such as ConnectWise, Autotask, and NinjaRMM — with an integrated system designed for modern MSPs seeking to automate service delivery and scale efficiently.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
About
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
AI Visibility Head-to-Head
Key Details
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.