Cast AI vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
Kubernetes cost optimization platform raised $108M Series C in Apr 2025 and achieved unicorn status at $1B+ in Jan 2026; AI-driven automation continuously rightsizes clusters for 2,100+ customers across AWS, Google Cloud, and Azure.
About
Cast AI is a Kubernetes cloud cost optimization platform founded to help engineering teams dramatically reduce their cloud infrastructure spending without manual intervention. The company was built on the observation that most Kubernetes clusters are significantly over-provisioned — teams allocate far more compute than workloads actually consume because manual right-sizing is time-consuming and risky. Cast AI's platform uses AI-driven automation to continuously analyze workload resource consumption, identify over-provisioned nodes, and automatically rightsize and rebalance clusters in real time across AWS, Google Cloud, and Azure.\n\nCast AI's core product sits between the cloud provider and the Kubernetes cluster, acting as an autonomous cost optimization layer that adjusts compute allocation dynamically based on actual usage patterns. The platform handles spot instance management, node autoscaling, pod bin-packing, and workload scheduling optimizations — capabilities that typically require dedicated platform engineering teams to implement manually. Cast AI provides a single-pane dashboard showing real-time savings, cost trends, and optimization recommendations across multi-cloud Kubernetes environments.\n\nCast AI raised a $108M Series C in April 2025 and achieved unicorn status at a $1B+ valuation in January 2026, reflecting strong product-market fit in the cloud cost management space. The company serves 2,100+ customers and has documented billions of dollars in cumulative cloud savings across its user base. Cast AI competes with Spot by NetApp, StormForge, and cloud-native autoscaling tools, differentiating through the depth of its autonomous optimization — going beyond simple recommendations to fully automated, continuous rightsizing.
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
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.