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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Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned.
FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills.
Capabilities include:
Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured.
Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed.
Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly.
Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served.
For technology and finance leaders accountable for what AI spend returns.
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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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Compute with Hivenet
Compute with Hivenet is a powerful, cost-effective cloud computing platform offering on-demand access to RTX 4090 GPUs. Designed for AI model training and compute-intensive tasks, Compute provides secure, scalable, and reliable GPU resources at a fraction of the cost of traditional providers.
With real-time usage tracking, a user-friendly interface, and direct SSH access, Compute makes it easy to launch and manage AI workloads, enabling developers and businesses to accelerate their projects with high-performance computing.
Compute is part of the Hivenet ecosystem, a comprehensive suite of distributed cloud solutions that prioritizes sustainability, security, and affordability. Through Hivenet, users can leverage their underutilized hardware to contribute to a powerful, distributed cloud infrastructure.
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