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 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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StratoLens
All Azure environments experience drift over time; expenses gradually rise without triggering alerts, access permissions accumulate inconsistently, and resources may continue to exist long after their associated projects have ended. Although nothing appears to be technically incorrect, issues go unnoticed until the end of the month or during audits.
Many tools that claim to resolve these problems require organizations to share their infrastructure data, which can be a significant concern for many, and completely unfeasible for those in regulated industries.
StratoLens offers a different approach, deploying directly from the Azure Marketplace into your tenant in less than 15 minutes, and it performs an internal scan of your environment, assessing costs, access rights, and all changes across every subscription. The results are prioritized by their financial impact, complete with explanations for each issue, and crucially, your infrastructure data remains within your own tenant since there is no external StratoLens cloud to transmit it to.
One of the users discovered they were wasting $14,100 annually on orphaned resources within just a few hours of use. Furthermore, all features are accessible across every pricing plan, and a 28-day free trial is available for those interested in exploring the solution. This way, organizations can ensure they maintain control while optimizing their Azure spend effectively.
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Cloud Waste Scanner
Cloud Waste Scanner is a security-first cloud auditing platform built to uncover and eliminate wasted cloud spend without exposing sensitive infrastructure data. Operating as a 100% local application, it connects directly from your machine to major providers including AWS, Azure, Google Cloud, Alibaba Cloud, and dozens more. The system scans for unattached storage volumes, zombie load balancers, idle compute resources, retention drift in snapshots, and missing lifecycle policies that silently inflate cloud bills. By analyzing metrics such as CPU utilization, disk IOPS, and traffic activity, it minimizes false positives and highlights meaningful savings. Teams receive an actionable savings map within minutes, focused on cost impact rather than surface-level suggestions. Unlike SaaS competitors, Cloud Waste Scanner does not store IAM roles or credentials on external servers. Its lightweight, Rust-powered engine ensures fast scans without heavy runtime overhead. With trial and Pro plans available, organizations can start with summary insights and unlock detailed resource-level visibility and automation when ready.
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