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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Parsivex
Parsivex serves as a platform designed for engineering teams to optimize AWS costs and identify waste associated with their cloud expenditures.
Much of the waste in AWS arises from everyday oversights, such as RDS instances left running, unattached EBS volumes, NAT Gateways that are no longer useful, and EC2 instances that were provisioned for a load test long ago. While Cost Explorer can indicate an increase in costs, it fails to provide actionable insights about what can be removed.
Connecting through a read-only IAM role, Parsivex operates without the need for agents or write permissions, thoroughly scanning for specific instances of waste: idle EC2 instances, unused RDS and load balancers, orphaned snapshots and Elastic IPs, over-provisioned computing resources, and untagged items. Each identified issue comes with detailed information, including the resource ID, its region, the potential monthly savings, and the rationale for its selection, enabling engineers to validate findings and take action without necessitating further investigation.
Additionally, scans are conducted on a predetermined schedule and can flag cost anomalies while expenses are still manageable, all from a unified dashboard that supports multi-region management.
There are no sales calls required; simply initiate a free scan and receive your initial report within minutes, allowing for immediate insight into potential savings.
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Cloud Custodian
Cloud Custodian empowers users to oversee their cloud assets through a system of filtering, tagging, and executing various actions. Utilizing a YAML domain-specific language, it allows for the creation of rules that help maintain a cloud infrastructure which is not only secure but also optimized for cost efficiency. By streamlining the process, it replaces complex cloud-specific scripts with more straightforward syntax, ensuring that policies are effectively applied across your infrastructure. The tool is compatible with major public cloud platforms such as AWS, Azure, and GCP, with additional support for Kubernetes, Tencent Cloud, and OpenStack currently in beta. It actively enforces security measures by seamlessly integrating with the control plane of cloud providers, enabling real-time remediation of issues. In addition, it features comprehensive metrics and reporting capabilities. Users can schedule resources to be turned off during non-peak hours to minimize expenses, while also identifying and removing unused assets by analyzing utilization metrics. Tagging capabilities allow for easy management of underused resources. Furthermore, Cloud Custodian can be executed in various environments, whether locally, on an instance, or in a serverless format through AWS Lambda, providing flexibility in deployment options. This versatility makes it a vital tool for efficient cloud resource management.
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