FinOpsly
FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
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CloudZero
CloudZero helps businesses optimize cloud spend with full visibility into costs—so they can reduce wasteful spending and improve their unit economics. Unlike other solutions, we take an engineering-led approach to cost optimization, helping teams understand what drives 100% of their operational cloud spend, empowering them to reduce risk, minimize waste, and maximize profit.
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ZETALY Cost Control
A thorough strategy for managing expenses and monitoring your financial plan is essential. ZETALY Cost Control (CC) serves as an analytical tool tailored to mitigate the financial effects associated with your mainframe operations. With its modern and user-friendly interface, this solution provides immediate insights into your expenditures, enabling you to make well-informed choices. You can monitor the current costs of your production almost instantaneously. Gain clarity on cost determinants, trends, and the distribution of expenses across different software platforms. Evaluate how business operations influence mainframe expenses effectively. The system also automates chargeback reporting for both internal teams and external clients, ensuring seamless financial management. Stay on top of your mainframe budget to avoid overspending while also monitoring your contractual obligations to maintain budget adherence. To enhance visibility, ZETALY CC initially gathers your usage data in near real time, then computes the actual expenditures and presents them in your preferred currency. These calculations take into account your various agreements and the corresponding pricing structures, allowing for precise financial oversight. Furthermore, the ability to analyze historical data will empower you to refine your budgeting strategies over time.
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BMC AMI Capacity and Cost
As the pace of digitization accelerates, the intricacies of managing mainframe capacity and associated costs also increase significantly. The BMC AMI Capacity and Cost portfolio enhances system availability, anticipates capacity constraints in advance, and streamlines mainframe software expenses, which can account for a staggering 30-50 percent of the overall mainframe budget. Striking a balance between risk and efficiency is essential to achieving operational resilience, necessitating clear visibility into workload fluctuations that could affect both mainframe availability and business requirements. The management of mainframe software licensing costs and pricing structures can be clarified, providing measurable business insights into technical cost data and their underlying factors. By diagnosing capacity challenges before they disrupt operations, organizations can leverage intelligent workflows informed by nearly 50 years of BMC expertise, thus empowering the future generation of mainframe systems. Additionally, effectively managing the capacity settings of less critical workloads can lead to cost optimization while simultaneously safeguarding service levels, further enhancing organizational efficiency. In this way, businesses can remain agile and responsive in an ever-evolving digital landscape.
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