Choose the model
See what each AI model costs per million tokens, how it scores on published benchmarks, and how open models perform on hardware you can run yourself.
For teams building AI agents
Choose the model and the skills it needs, connect your data, and run your agents within limits they can't override: what they spend, what they see and what they can reach. Every task leaves a record of what the agent did and why, billed to the customer it worked for.
An AI agent decides its next step as it goes, starts more copies of itself when the work calls for it, spends money at every step and keeps working at night. Once it works for your customers, three questions arrive together:
A cloud built for people watching dashboards can't answer them. QAI Cloud is built to.
See what each AI model costs per million tokens, how it scores on published benchmarks, and how open models perform on hardware you can run yourself.
Find skills for Claude Code, Codex, Cursor, Copilot, Kiro and more, and see what each one can touch before you install it.
A spending cap your agents can't override, each customer's data kept apart, a sealed space for every task and a record of every decision.
One up-to-date store for what your agents look up and remember, plus maps of the AI economy: who supplies whom across the AI stack, and where the data centers and power are.
QAI Cloud enforces each limit itself, not through instructions the agent could argue with.
Each task runs against a budget you set, and QAI Cloud enforces it.
See what every task cost and which customer it ran for. That is the answer you need when a customer questions a charge.
What an agent can see is checked when it asks, against the customer it's working for. One agent serving two customers sees two separate sets of data.
What the agent looks up, your records and what it remembers are kept as one, so it never answers from an out-of-date copy.
The worst agent mistakes don't crash; they succeed at the wrong thing. QAI Cloud keeps what each agent decided and why, so you can find them.
Each task runs on its own, reaches the internet only where you allow, and is thrown away when it ends.
A task can pause and pick up where it left off, and an agent can add copies of itself as the work needs them, without a capacity plan.
QAI Cloud won't make an agent's decisions good. It makes a bad decision small, easy to see, and billed to the right customer.
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