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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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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Cloud Repatriation Analyzer
The Cloud Repatriation Analyzer (CRA) assesses workloads in public cloud environments like AWS, GCP, Azure, and DigitalOcean to determine the viability and cost-effectiveness of transitioning to bare-metal hosting.
Key Features:
Cross-Cloud Resource Mapping: Utilizes read-only APIs to seamlessly integrate and visualize assets spanning compute, storage, databases, and networking.
Intelligent Waste Detection: Analyzes a month's worth of usage data to uncover inefficiencies such as ghost storage, inactive instances, idle load balancers, and potential egress leaks.
Migration Planning Blueprinting: Aligns cloud workloads with appropriately sized bare-metal servers (e.g., Hetzner, OVH), providing a detailed comparison of Hybrid and Full Migration strategies.
Cost & Return Analytics: Evaluates monthly operational expense reductions, initial setup investments, break-even periods, and projected Total Cost of Ownership over one, three, and five years.
Comprehensive Executive Reporting: Generates migration plans that can be exported, outlining specific resource actions, server performance metrics, and dependencies on managed services, ensuring stakeholders have a clear understanding of the migration process. Additionally, this analysis empowers organizations to make informed decisions regarding their cloud strategy.
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StormForge
StormForge drives immediate benefits for organization through its continuous Kubernetes workload rightsizing capabilities — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.
As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the HPA at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced ML algorithms to recommend optimal resource requests and limits.
Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.
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