Every AI product we have worked on ends up in the same place. You start with one provider. Then you add a second because a different model is better at images. Then a third for video, a fourth for voice. Now you maintain four SDKs, four sets of credentials, four invoices, and a growing pile of retry logic — and nobody can answer what a single feature actually costs.
None of that work differentiates your product. It is the same layer, rebuilt in every company, badly, under deadline.
What we are building
INFRO is that layer, run as a service. One API across text, image, video, and audio. One account and one bill. Routing that picks a healthy, well-priced route for each request and retries elsewhere when something degrades. Usage you can attribute down to a project key.
Because we buy inference capacity in volume, we can usually price below what the same call costs going direct — and where we cannot, we say so on the pricing table rather than implying a discount that isn't there.
How we intend to behave
- Publish the numbers. Reference price, our price, and the difference — per model, on a public page.
- No lock-in. The text API is OpenAI-compatible and leaving is the same one-line change as arriving. Keeping you should be our job, not the switching cost's.
- Never train on your data. Not on prompts, not on outputs, not in aggregate.
- Say what we don't have yet. We are early. You will find gaps, and we would rather you find them in our writing than in production.
Talk to us
If you are spending meaningfully on inference and want a second opinion on the bill, send your current usage to hello@infro.io and we will model it honestly — including telling you when the savings aren't worth a migration.
Otherwise, the quickstart takes about five minutes.