Toolspend Verified Customer Reviews (2026)

Ask a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.

Approximately 25 million engineers are employed across a wide variety of specific roles. As companies increasingly transform into software-centric organizations, engineers are leveraging New Relic to obtain real-time insights and analyze performance trends of their applications. This capability enables them to enhance their resilience and deliver outstanding customer experiences. New Relic stands out as the sole platform that provides a comprehensive all-in-one solution for these needs. It supplies users with a secure cloud environment for monitoring all metrics and events, robust full-stack analytics tools, and clear pricing based on actual usage. Furthermore, New Relic has cultivated the largest open-source ecosystem in the industry, simplifying the adoption of observability practices for engineers and empowering them to innovate more effectively. This combination of features positions New Relic as an invaluable resource for engineers navigating the evolving landscape of software development.

Binadox serves as a comprehensive solution for optimizing expenditures across multiple cloud environments, integrating the management of both Software as a Service (SaaS) and Infrastructure as a Service (IaaS) into a single platform. * Streamline SaaS subscription management and enhance cost efficiency * Gain visibility into cloud expenditures on platforms like AWS and Azure while preventing overspending * Address the challenges of Shadow IT and SaaS applications * Conduct in-depth analysis of cloud spending with tailored optimization recommendations The Binadox dashboard offers a holistic overview of all SaaS applications utilized by your organization, detailing authorized users, actual usage, and associated costs, empowering you to make well-informed financial decisions. This solution also facilitates multi-cloud monitoring for both AWS and Azure, ensuring proactive tracking of granular spending and providing alerts to prevent unexpected billing spikes. You can monitor essential cloud services such as compute, storage, and network resources. Additionally, the platform allows for a detailed examination down to individual components, like a specific virtual machine in EC2, providing insights into both the costs and usage patterns of each instance. With actionable recommendations for optimization at your fingertips, you can effectively manage resources. Furthermore, utilize an API, Proxy, or Agent for efficient discovery of SaaS application usage across your organization, ensuring you capture all relevant data for better oversight.