Tokonomics 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.

The CloudZero Platform is uniquely positioned as the only cloud cost management tool that combines real-time engineering activities with financial data, helping users understand how their engineering decisions affect costs. Unlike typical cloud cost management solutions that focus solely on historical spending, CloudZero is specifically designed to help users recognize variations in costs and the underlying factors that contribute to them. Analyzing total spending can often obscure the identification of cost surges. To overcome this challenge, CloudZero utilizes machine learning technology to detect spikes in specific AWS accounts or services, facilitating proactive measures and informed planning. Aimed at engineers, CloudZero allows for meticulous examination of each line item, empowering users to respond to any questions, whether they stem from anomaly notifications or financial inquiries. This granular approach guarantees that teams retain a comprehensive insight into their cloud financials, ultimately supporting better decision-making and resource allocation. By fostering a deeper understanding of cost dynamics, CloudZero enables organizations to optimize their cloud spending effectively.

Gravitee is an enterprise AI agent management, API management, and event management platform that centralizes governance across agents, models, APIs, tools, and data streams. Its AI Gateway sits between AI applications and enterprise systems to provide a single enforcement point for model access, MCP tools, and agent-to-agent interactions. The LLM Proxy gives organizations one front door to multiple model providers, while the MCP Proxy controls how agents access tools and the A2A Proxy secures communication between agent systems. Gravitee can issue, verify, and revoke identities for AI agents and apply least-privilege policies to determine which systems and services each agent may access. Security controls can include authentication, authorization, PII redaction, rate limiting, spend caps, key protection, and detailed logging of prompts and agent activity. The platform also provides visibility into AI traffic, model usage, token costs, agent dependencies, and behavior so teams can identify shadow AI and uncontrolled integrations. Cost and risk controls help organizations manage token consumption, monitor spend, and reduce the operational impact of unreliable or overactive agents. Gravitee extends the same management approach to REST APIs, GraphQL, gRPC, Kafka, and other enterprise API and event technologies. Internal APIs, event streams, MCP tools, and workflows can be exposed as governed products for developers, partners, applications, and AI agents. This unified approach allows enterprises to manage conventional integration infrastructure and newer agentic workloads without maintaining completely separate governance systems. Gravitee is designed for enterprises, security teams, API platform teams, AI engineering organizations, and regulated businesses that need centralized control over AI agents, model traffic, APIs, and event-driven systems.