Commerce should feel stable, even in an agent-era world.

Commerce on the open web is a mess. Supplier pages load differently every week. Titles and sizes come in five languages. Landed costs change silently because an FX tick moved or a duty rule was updated in a spreadsheet no one reads. Operators spend their days cleaning this up by hand.

Agents have the same problem, only worse. When an AI assistant tries to do commerce, it hits the same messy pages behind a fragile scraping script, and the result is a silent hallucination or a dropped checkout. The part of the stack that was supposed to be boring and reliable — the product record, the landed cost, the shipping option — still isn't.

We started Turaxia to fix the layer underneath. We take supplier URLs and return typed, reliable product records, translated copy, landed-cost quotes, and routing plans. The same contract is available through a dashboard, an SDK, a CLI, and an MCP server, so a human operator, a developer, and an AI agent all call the same thing and all get the same answer.

Our name comes from the Kazakh word Turaqty (Тұрақты) — stable, constant, enduring. It is what we want the product to be. When you hand us a messy input, you should be able to trust the output to be the same shape tomorrow as it was today, on every surface we ship.

That means a few things in practice. We do not invent metrics. Numbers you see on this site come from a real run against a real supplier page, published in our public proof bundle. We label maturity honestly. What is generally available is labelled that way. What is in beta stays labelled beta until it isn't. We onboard slowly on purpose. The first customers get the founder in the room; we earn the right to scale rather than assume it.

The promise to the operator: your catalog workflow does not break. The promise to the developer: the typed contract stays stable across releases. The promise to the agent: the output is typed, audited, and reproducible every time.

That is what we mean by the AI-Commerce OS for the agent era.