Spend by owner
Every AI dollar attributed to a team, a workload and a model, across Anthropic, OpenAI, Google, Amazon Bedrock and Azure OpenAI, with the unattributed remainder shown rather than hidden.
Finitizer Tokenomics
Finitizer Tokenomics is an AI-powered SaaS product that reads your own AI bills and exports and answers one question in order: who is accountable for AI spend, what it returns, and what it costs.
AI spend arrives through several doors at once: provider APIs, cloud token services such as Amazon Bedrock and Vertex AI, tools with AI built in, and the models you serve yourself. Each bills differently, and none of them names the workload the money served. Tokenomics groups that spend into owned workloads and puts each workload's outcomes beside its cost, so the number you take to finance is one you can defend.
Tokenomics is sold on its own. It shares a login with Finitizer CloudIQ, so a customer who owns both moves between cloud spend and AI spend in one workspace.
Every AI dollar attributed to a team, a workload and a model, across Anthropic, OpenAI, Google, Amazon Bedrock and Azure OpenAI, with the unattributed remainder shown rather than hidden.
Each workload's outcomes recorded next to what it spent, with value claims booked by finance, so AI is judged on return rather than on the bill alone.
Budgets per team, provider, model or environment, spend spikes and new sources detected, and alerts delivered by email or Slack to the people who own the budget.
Cached tokens, batch discounts and model mix per workload, with the cost of each routing choice priced so engineering can see what a cheaper model would have saved.
Where the month lands against the budget, from the daily run rate, with a range rather than a single number.
Import the usage and cost exports your providers already publish, or connect a cloud account for Bedrock and Vertex AI. Read-only, no agents, and a built-in sample to explore before the first import.
Load the usage and cost reports from each provider, or pull them from your AWS or Google Cloud bill. Tokenomics normalizes them into one set of rows: provider, model, tokens in, tokens out, cached, and cost.
Map every API key, project and source to the team and workload that owns it. Unowned spend stays visible until somebody claims it.
Set budgets, record what each workload returns, and act on the spikes and routing opportunities Tokenomics surfaces, with alerts to the owners when a budget crosses its line.
Finitizer Tokenomics is a product in its own right. Buy it alone if AI spend is the problem you need solved, or add it to Finitizer CloudIQ and manage cloud and AI spend side by side on the same login. Tokenomics is in Beta, and early customers shape the roadmap with us.
It reads your AI bills and exports and shows who owns the spend, what it returns and what it costs, by team, workload and model, with budgets, anomaly detection and alerts.
No. Tokenomics is sold on its own. If you also own CloudIQ, both products share one login and one workspace.
Anthropic, OpenAI and Google usage and cost exports, and Amazon Bedrock and Vertex AI spend from your AWS or Google Cloud bill. Models you serve yourself are priced from the hardware behind them.
No. It works from the usage and cost reports your providers already publish, which you import, and optionally from read-only access to the cloud bill for Bedrock and Vertex AI.
Yes. The seven screens are in production use and the data model is stable; what changes is the set of providers read and the detail of the efficiency and forecast screens. Early customers shape that roadmap with us.