Waterfall 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.

Tokonomics functions as a crucial cost management solution that links your application with multiple LLM providers. With a simple modification to a URL, you can gain access to real-time expense tracking, receive budget alerts, and enforce stringent spending ceilings across platforms including OpenAI, Anthropic, DeepSeek, Google Gemini, Mistral, Groq, and others. To get started, you merely need to replace your existing LLM base URL with Tokonomics while keeping your current code intact. Every API call is thoroughly logged, detailing token consumption, precise cost in 8-decimal USD, response duration, and customized tags that help attribute expenses to specific teams or features. Key features of Tokonomics include: - Alerts for budget limits sent via email, Slack, or Teams - Mandatory spending caps that halt further requests once the monthly budget is exhausted - An analytics dashboard that offers detailed insights into spending categorized by model, daily trends, and potential savings - Support for BYOK (Bring Your Own Keys) with secure AES-256 encryption - Rate limiting for each API key to effectively control usage - Broad compatibility with various programming languages and HTTP clients, such as PHP, Python, Node.js, Go, and Ruby, ensuring flexibility for developers. Moreover, Tokonomics enables teams to take proactive control over their expenditures while streamlining the management of different LLM integrations. This not only enhances financial oversight but also fosters strategic decision-making regarding resource allocation.