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For developers and teams building AI products

Your AI product shouldn't own the infrastructure around AI.

Whether you are one developer shipping an AI SaaS or a team running millions of requests, INFRO gives the infrastructure around your models somewhere to live: one API across the provider accounts you already have, routing and retries handled, and every call recorded with its estimated cost — at 0% markup on what your providers bill.

Request a 14-day trialWalk through the product

INFRO is in private early access. The catalog, the docs, and the API contract are public today, and the gateway is deployed. The console opens with an early-access account, billing opens in stages, and anything beyond v1 is marked Later. Early access details

The problem

The infrastructure problem is the same one every time.

An agent, a video tool, an SEO product, a sales assistant — the products look nothing alike and the plumbing underneath them ends up nearly identical. Providers, routing, retries, latency, usage, cost, budgets, reliability. INFRO gives those a place to live that is not your codebase.

None of it ships a feature. All of it is yours to maintain, and it accretes one incident at a time.

Without a layer, your app owns
  • An account and a key per provider, each with its own request shape
  • Retries, timeouts, and whatever you did about rate limits
  • Per-model cost arithmetic, and a spreadsheet that goes stale
  • Logging you added after the first incident nobody could explain

Every one of these was a reasonable decision on the day you made it.

What you get

Four things, and each one is work you would otherwise do yourself.

  • One integration, not one per provider

    Text speaks the OpenAI request shape, so an existing client points at a new base URL. Image, video, and audio use one INFRO shape across every model instead of a different SDK each.

  • Provider choices stop touching your code

    Adding a model, moving a workload, or putting a standby behind one is a change in this layer, not a deploy. Each response still names the provider and connection that served it, so nothing is hidden from you.

  • Every request is recorded with what it cost

    Model, route, latency, tokens or units, and estimated provider cost — attributable to a project, a key, or one of your own end users. That is the number you need when someone asks about margin.

  • A ceiling that stops rather than emails

    A runaway loop or a bad prompt is a bill. A spend limit per project or per key, set to block, refuses requests at the cap before the provider is called instead of telling you afterwards.

Product

Every request carries an estimate of what your provider will bill for it, attributed to a project, a key, a customer or a feature — from the vendor’s published rate, or from the rates you negotiated once you enter them on the Team plan.

Requests

4 requests · last 15 minutes

TimeProjectProviderStatusLatencyEst. cost
Served
3 of 4
Recovered by fallback
1
Refused before a provider
1
Est. provider cost
$0.0100

Select a request to see every attempt, its latency and its estimated cost.

As usage grows, model spend stops being a feature cost and becomes product economics — and a monthly total from each provider stops being an answer. The useful time to have this layer underneath is before the number is large enough to need explaining.

Adoption

If your product already calls an OpenAI-compatible API for text, you keep the client and the request code and change three values.

API key
An INFRO gateway key. Provider credentials stay sealed inside INFRO.
Base URL
https://api.infro.io/v1
Model
A vendor/model id, or a route you configured.

Responses keep the OpenAI shape. INFRO’s own refusals have their own error codes.

Read the quickstart Connecting a provider
app.py+3−2
import osfrom openai import OpenAI client = OpenAI(Removed:     api_key=os.environ["OPENAI_API_KEY"],Added:     api_key=os.environ["INFRO_API_KEY"],Added:     base_url="https://api.infro.io/v1",) response = client.chat.completions.create(Removed:     model="gpt-5.6-terra",Added:     model="openai/gpt-5.6-terra",    messages=messages,)

Questions

Answered in one line each, including the ones where the answer is that you should not bother.

Do I have to rewrite anything?
For text, no — a base URL, a key, and a model string. Your client library, request bodies, response parsing, and error handling are untouched.
Is this relevant at my size?
It earns its place at the second provider, the first incident, or the first bill nobody can explain. If you run one model from one vendor and spend little, go direct — we would rather say so than waste your evaluation.
Do I have to move everything?
No. Point one endpoint at it, keep the rest where it is, and compare. Leaving is the same change in reverse.
Will it cost me more?
Your providers keep billing you at your own rates and INFRO takes 0% of that. What you pay INFRO is a flat subscription for the control plane, published on the pricing page — four plans from $35 a month, each with a 14-day trial. Nothing INFRO sells is priced per token, so it does not move when a prompt gets longer or a model gets dearer. Plans do step up with request volume, and every step is a published price you choose.
Can I look before I talk to anyone?
The providers page lists every provider you can connect, the full API contract is in the docs, and every plan is on the pricing page. The console itself needs an account — early access is how you get one — but nothing else on this page requires a conversation to verify.

Get started

Building an AI product? Put INFRO in the stack.

Connect once, and add routing, visibility, and spend control as your workload earns them.

Request a 14-day trialWalk through the product

INFRO is in private early access. What ships in v1 lists every capability, including the ones we have not built.