Your company is running OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Cursor, and GitHub Copilot simultaneously. Each has a different billing model, a different dashboard, and a different billing cycle. Zelaros connects to all of them in 15 minutes and gives your CTO, Engineering, and Finance a single, unified view of what you are spending and where it is going.
The Problem
Your AI spend lives in at least five places: the OpenAI billing dashboard, AWS Cost Explorer for Bedrock, Azure cost management, a corporate card statement covering Cursor and GitHub Copilot seats, and occasionally a direct vendor invoice. No single system aggregates them. Finance reconciles the pieces manually, usually a week after month close, and the result is a total with no breakdown attached to it.
Production API usage can double in a week when a new feature ships or a model change increases token consumption per call. The native dashboards from each provider do not talk to each other, and none of them alert you when spend crosses a threshold you care about. By the time the invoice arrives, the cause is a week-old code change that takes hours to reconstruct.
The CFO asks Finance. Finance asks Engineering. Engineering logs into three separate dashboards and adds up numbers in a spreadsheet. The answer takes two days and still has no team-level or workflow-level breakdown. As companies scale from one AI integration to seven, this problem does not grow linearly. It compounds.
The Solution
Zelaros connects to direct API providers and wrapped SaaS tools through read-only billing API integrations. No instrumentation required. No code to deploy. Every provider appears in one view with consistent spend data, trend lines, and attribution.
Zelaros maps your existing billing data to your team structure so squad leads, service owners, and platform teams can see exactly what they are consuming. No tagging conventions to enforce. No aggregation pipeline to build or maintain.
Department-level cost allocation, 12 months of unified spend history, and exportable board-ready summaries. Zelaros gives Finance the baseline and the tools to forecast AI spend with the same discipline they bring to every other budget category.
How It Works
Zelaros uses read-only billing API credentials to connect to each provider. You authenticate once per provider through the Zelaros setup wizard. No SDK installation. No code changes. No involvement from your engineering team. The initial connection for a typical six-provider stack takes under 15 minutes and can be completed by any admin with billing access.
Once connected, Zelaros pulls your billing history and presents a unified dashboard: total AI spend by provider, model-level breakdown, month-over-month trend, and the split between direct API costs and SaaS subscription tools. For wrapped SaaS products like Cursor and GitHub Copilot, per-seat utilization data appears alongside subscription cost so you can see what you are paying and who is using it.
Set spend thresholds by provider or team and receive alerts before costs become invoice surprises. Export department-level cost summaries for Finance and board reporting. Give squad leads access to their own spend dashboards so cost accountability shifts to the people making the decisions. Identify inactive Cursor or Copilot seats before the next renewal. For the first time, your AI spend behaves like a managed cost category.
Pricing
Best for $50K-$150K/yr in AI spend
$6,000/year
Best for $150K-$500K/yr in AI spend
$18,000/year
Best for $500K+/yr in AI spend
$30,000+/year
Companies managing $100,000 per year in AI spend typically recover the cost of Zelaros within the first month through avoided overages, eliminated inactive SaaS seats, and reduced Finance overhead. At $500 to $2,500 per month, Zelaros costs less than a single month of a platform engineer's time spent responding to ad-hoc AI cost reporting requests. The question is not whether you can afford the visibility. It is what the absence of it is already costing you.
Early access participants work directly with the founding team, get preferred pricing locked for the lifetime of their account, and shape the product roadmap with their real-world spend data and operational requirements.
Zelaros accesses billing API data only. This means cost totals, model-level usage breakdowns, API key identifiers, and seat utilization data for SaaS tools, depending on what each provider exposes through its billing API. We do not access prompt content, model outputs, completion data, conversation history, or any data your users send to or receive from your AI providers. The content of your AI interactions is not visible to us and never will be.