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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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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Spot by NetApp
Spot by NetApp provides a comprehensive suite of solutions for cloud operations, aimed at enhancing and automating cloud infrastructure to ensure that applications consistently receive the optimal resources needed for performance, availability, and cost-efficiency. Utilizing sophisticated analytics and machine learning, Spot allows organizations to potentially cut their cloud computing costs by as much as 90% through the strategic use of spot, reserved, and on-demand instances. The platform includes extensive tools for managing cloud finances (FinOps), optimizing Kubernetes infrastructure, and overseeing cloud commitments, thereby offering complete transparency into cloud environments and streamlining operations for enhanced effectiveness. With Spot by NetApp, companies can not only speed up their cloud adoption processes but also boost their operational agility while ensuring strong security measures are maintained across multi-cloud and hybrid setups. This innovative approach facilitates a smarter, more cost-effective way to manage cloud resources in a rapidly evolving digital landscape.
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Elastigroup
Efficiently provision, manage, and scale your computing infrastructure across any cloud platform while potentially reducing your expenses by as much as 80%, all while upholding service level agreements and ensuring high availability. Elastigroup is a sophisticated cluster management software created to enhance both performance and cost efficiency. It empowers organizations of varying sizes and industries to effectively utilize Cloud Excess Capacity, enabling them to optimize their workloads and achieve savings of up to 90% on compute infrastructure costs. Utilizing advanced proprietary technology for price prediction, Elastigroup can reliably deploy resources to Spot Instances. By anticipating interruptions and fluctuations, the software proactively adjusts clusters to maintain seamless operations. Furthermore, Elastigroup effectively harnesses excess capacity from leading cloud providers, including EC2 Spot Instances from AWS, Low-priority VMs from Microsoft Azure, and Preemptible VMs from Google Cloud, all while minimizing risk and complexity. This results in straightforward orchestration and management that scales effortlessly, allowing businesses to focus on their core activities without the burden of cloud infrastructure challenges.
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