
Ask a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet.
FinOpsly was built for that second set of questions.
It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer.
What teams use it for:
Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for.
Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure.
Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible.
Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served.
Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one.
Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
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Teradata VantageCloud: The Complete Cloud Analytics and AI Platform
VantageCloud is Teradata’s all-in-one cloud analytics and data platform built to help businesses harness the full power of their data. With a scalable design, it unifies data from multiple sources, simplifies complex analytics, and makes deploying AI models straightforward.
VantageCloud supports multi-cloud and hybrid environments, giving organizations the freedom to manage data across AWS, Azure, Google Cloud, or on-premises — without vendor lock-in. Its open architecture integrates seamlessly with modern data tools, ensuring compatibility and flexibility as business needs evolve.
By delivering trusted AI, harmonized data, and enterprise-grade performance, VantageCloud helps companies uncover new insights, reduce complexity, and drive innovation at scale.
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Azure Virtual Desktop
Azure Virtual Desktop, formerly known as Windows Virtual Desktop, serves as a comprehensive cloud platform designed for desktop and application virtualization. This service is unique as it is the only virtual desktop infrastructure (VDI) solution that provides easy management, multi-session functionality for Windows 10, special enhancements for Microsoft 365 Apps for enterprise, and integration with Remote Desktop Services (RDS). You can efficiently launch and scale your Windows desktops and applications on Azure within minutes, all while enjoying built-in security and compliance features. By allowing the use of personal devices (BYOD), users can seamlessly access their desktops and applications online through a variety of Azure Virtual Desktop clients, which are available on Windows, Mac, iOS, Android, and via HTML5. Moreover, choosing the right Azure virtual machine (VM) can greatly enhance performance, enabling you to fully leverage the multi-session capabilities of Windows 10 and Windows 11 on Azure, which facilitates simultaneous access for multiple users and helps reduce costs. With its adaptability and effectiveness, Azure Virtual Desktop is revolutionizing the way organizations oversee their remote work scenarios, ensuring a more productive and efficient workforce. The service is thus pivotal in aligning technology with modern business needs, fostering a more agile working environment.
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Azure Stack Edge
Efficiently manage your workloads and gain instant actionable insights directly from the data source with Azure Stack Edge, which provides hardware-as-a-service customized to fit your specific requirements. You have the convenience of ordering your device through the Azure portal with a subscription payment model that is billed on a monthly basis. Experience a seamless interface that connects cloud and edge, enabling you to set up, monitor, and upgrade your Azure Stack Edge through the same management tools and development resources you use with Azure. You can deploy containerized applications and virtual machines precisely at the edge, right where data is produced and collected. This allows for local processing, transformation, and filtering of data, ensuring that only essential information is sent to the cloud for further analysis or storage. Additionally, you can enhance and build your machine learning models using Azure or utilize Azure Cognitive Services, capitalizing on the integrated NVIDIA T4 GPU or Intel VPU found in the Mini R to significantly enhance local performance. This configuration not only refines your data management practices but also simplifies your entire cloud computing approach, leading to improved operational efficiency. By leveraging Azure Stack Edge, businesses can achieve a competitive advantage through rapid data insights and streamlined processes.
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