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.
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.
Atlassian ITSM platform (NASDAQ: TEAM, $5.46B TTM revenue, +19.51%) serving 83% Fortune 500; Rovo AI teammate and Jira unification at Team '24 competing with ServiceNow for DevOps-aligned IT service management.
Jira Service Management (JSM) is a cloud IT service management (ITSM) platform developed by Atlassian Corporation (NASDAQ: TEAM) — parent company reporting $5.46 billion in revenue for the twelve months ending September 2025 (+19.51% year-over-year) with a $71 billion market capitalization, serving 300,000+ customers including 83% of the Fortune 500 — providing IT, service desk, and operations teams with incident management, change management, problem management, service catalog, and asset management capabilities built on Atlassian's Jira platform with 98% customer retention. At Team '24 (2024), Atlassian merged Jira Software and Jira Work Management into a unified "Jira" product, and introduced Rovo — an AI teammate providing intelligent search, chat, and automation across the Atlassian platform. JSM competes in the ITSM market by leveraging Atlassian's developer platform ubiquity: 10+ million developers already using Jira for software projects creates a natural expansion path into ITSM for the same enterprise. Founded 2002 by Mike Cannon-Brookes and Scott Farquhar in Sydney, Australia; NASDAQ IPO 2015.
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