For SaaS teams

Ship the AI feature on this sprint

Smart compose, summaries, search answers, onboarding copilots. Add them to your product behind one endpoint, with per-call pricing you can map straight onto your own plans.

Live in minutes

from API key to first feature call

Clear unit cost

price per call, visible before you ship

One integration

swap models without a redeploy

The problem

What is slowing you down today

Every model is another integration

New auth, new error formats, new invoices. Your roadmap stalls while engineers babysit plumbing.

Feature cost is a guess

Product wants to price the AI tier. Finance wants a unit cost. Nobody can say what a summary actually costs.

One outage, one angry status page

When the single model behind your feature has a bad hour, your customers see it first.

Capabilities

Everything you need, nothing you don't

One endpoint for every feature

Summaries, drafts, classification and code help all go through the same authenticated POST, so new features reuse what you already built.

Per-call unit economics

Every response carries token counts and price, so you can attribute cost to a tenant, a feature or a plan.

Prices before you call

The model catalog shows per-token pricing for each model, so product and finance can agree on a feature before it ships.

Fail-over your users never notice

If one model is busy, the request moves to another that can serve it. Your feature stays responsive.

Cache for the common questions

Popular prompts repeated inside the cache window come back fast and cost nothing.

Keys per environment

Create separate keys for staging and production and revoke one without touching the others.

Use cases

What teams run on it

01

In-app summaries

Turn long threads, tickets or documents into a crisp recap right where your users work.

02

Smart compose

Draft emails, notes and replies inside your product in the user's own context.

03

Natural-language search answers

Pair your search results with a short generated answer that cites what you found.

04

Onboarding copilots

Answer setup questions in-product so new accounts reach value faster.

How it works

From sign-up to production

  1. 1

    Prototype in the playground

    Try prompts against catalog models and see tokens, latency and price per run.

  2. 2

    Wire one endpoint

    Call POST /api/ainf/inference from your backend with a bearer key. Existing chat-style clients adapt with a base URL change and a small body mapping.

  3. 3

    Ship and measure

    Track daily and month-to-date usage in the console as the feature rolls out.

Control

Built so you stay in charge

Keys you control

API keys are shown once at creation and stored only as a hash. Revoke any key instantly from Settings.

Spend you can see

Every request carries its own receipt: tokens in, tokens out, latency and price. Nothing is billed that you cannot trace.

Limits you set

Per-account rate limits and a free monthly allowance keep experiments safe before they become production.

Data you decide on

You choose exactly what you send. Repeat prompts can be served from your cache, and cache hits are never billed.

For developers

One endpoint. Every model.

Send a prompt and a capability, or name a model. One bearer key, one small JSON body, and a full receipt on every response.

curl https://YOUR-DOMAIN/api/ainf/inference \
  -H "Authorization: Bearer $AI_INFERENCE_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: order-1042" \
  -d '{"prompt":"Summarise this ticket in one line","capability":"chat"}'

Questions, answered

Can I bill my own customers for AI usage?

Every response includes tokens and price, and your keys are tracked per request, so you have the data to build usage-based pricing on your side.

Do I need to rewrite my existing client?

Usually not. Point it at our base URL, send your key as a bearer token and put your text in the prompt field.

How do I keep staging traffic separate?

Create a key per environment, and tag each response's price and tokens in your own logs so staging and production spend stay separate.

How am I billed?

Metered per token at the price shown for each model. Usage beyond the free monthly allowance is invoiced every 30 days and paid online.

Your next AI feature is one endpoint away

Prototype today on the free allowance, then ship with pricing you can explain.