List of Cast AI Customers
Since 2010, our global team of researchers has been studying Cast AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Cast AI for Application Performance Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Cast AI for Application Performance Management include: Nielsen Consumer, a United States based Professional Services organisation with 30000 employees and revenues of $7.50 billion, Akamai, a United States based Professional Services organisation with 10700 employees and revenues of $3.99 billion, Flowcore Bulgaria, a Bulgaria based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Cast AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Cast AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Akamai | Professional Services | 10700 | $4.0B | United States | Cast AI | Cast AI | Application Performance Management | 2023 | Develeap | In 2023, Akamai implemented Cast AI as Application Performance Management to automate Kubernetes scaling, bin packing and Spot instance usage across its large, global cloud infrastructure supporting platform engineering in EMEA. The deployment targeted containerized workloads running in Kubernetes clusters, with configuration focused on dynamic scaling policies and cost-aware placement for platform engineering teams. The implementation leveraged Cast AI capabilities for autoscaling, instance rightsizing, automated bin packing and Spot instance orchestration, together with built-in cost analytics. Cast AI was configured to run cluster level automation and continuous rightsizing, applying category-aligned operational workflows for workload placement, scaling thresholds and instance type selection. Develeap introduced Akamai to Cast AI and acted as the partner credited in the engagement, with Cast AI integrated into Akamai Kubernetes environments to manage Spot instance usage and scaling behavior. Operational coverage centered on EMEA platform engineering and cloud operations, where Cast AI supplied workload-level visibility and cost analytics to platform and finance stakeholders. Governance changes included embedding automated scaling policies into platform engineering operational processes and shifting routine instance sizing tasks to the Cast AI automation layer. Outcomes reported in the case study include cost savings of 40–70 percent depending on workload and the reclamation of engineering time, with Cast AI cited as providing the autoscaling, instance rightsizing and cost analytics that enabled those results. | |
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Flowcore Bulgaria | Professional Services | 10 | $1M | Bulgaria | Cast AI | Cast AI | Application Performance Management | 2024 | n/a | In 2024, Flowcore Bulgaria deployed Cast AI as its Application Performance Management solution to optimize an AKS-based platform across EMEA. The implementation focused on cost and performance controls, using Cast AI capabilities for node rebalancing and workload autoscaling along with Cast AI's Database Optimizer to address query performance and caching behavior. Operational scope centered on cloud infrastructure and platform engineering, with the Cast AI deployment integrated into AKS clusters to orchestrate node pool adjustments, scheduler-aware placement, and autoscaling of workloads. Cast AI's Database Optimizer was applied to database workloads, producing reported 80 to 90 percent cache hit rates, while node rebalancing and workload autoscaling delivered roughly 50 percent cloud cost savings. Governance emphasized platform engineering workflows and automated, policy-driven scaling to maintain continuous optimization at the cluster and workload level, aligning Application Performance Management controls with day to day platform operations. | |
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Nielsen Consumer | Professional Services | 30000 | $7.5B | United States | Cast AI | Cast AI | Application Performance Management | 2024 | n/a | In 2024 Nielsen Consumer implemented Cast AI for Azure-based Kubernetes node provisioning and FinOps tooling in the United States. Cast AI was adopted as an Application Performance Management solution to support platform engineering and FinOps business functions at Nielsen Consumer. The deployment centered on Azure Kubernetes, where Cast AI controlled node provisioning and cluster stamping and management across non-production and production clusters. Functional capabilities implemented include automated node provisioning and FinOps tooling for cost optimization as part of platform engineering workflows, with Cast AI used to standardize cluster lifecycle operations. Operational coverage targeted United States Kubernetes estates, with Nielsen Consumer reporting 60 to 80 percent savings on non-production clusters and 40 to 50 percent savings on production clusters. The case study documents fast time-to-value and an ROI realization in about two months, and describes Cast AI becoming part of Nielsen Consumer’s standardized tooling for stamping and managing clusters. Governance and process changes centered on embedding Cast AI into existing platform engineering and FinOps workflows, standardizing cluster provisioning and cost governance across teams. The implementation narrative links Nielsen Consumer, Cast AI, Application Performance Management, and platform engineering and FinOps as the core relationship driving cluster management and cost controls. |
Buyer Intent: Companies Evaluating Cast AI
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