AI API infrastructure
for production workloads.

Your AI bill grows every time your product grows.

Usage-based pricing means your cost of goods scales with your own success. Every new customer, workspace and feature adds calls you pay for. Most software gets cheaper per unit as it grows; this does not, so every point of growth arrives with its own bill attached.

Every job priced above the level it needed comes out of your margin — one call at a time.

What our customers say.

Why Omev AI

Your task. Your criteria. Our execution.

OpenRouter, LiteLLM or a direct model API can be part of your stack. Omev takes on the model selection, client rules and result checks for the business tasks you send us.

Built around your requirements

Same task. Different client. Different AI behavior.

The product facts stay the same. Switch the client profile to see how the requirements, processing steps and output change.

{
  "name": "Ridge bottle",
  "description": "The Ridge bottle combines a 750 ml capacity with a stainless steel body, a screw-top lid and a matte graphite finish. Its listed weight is 280 g. These specifications give shoppers a straightforward way to compare the bottle with other options.\n\nChoose by the details that matter to you: capacity, material, lid type, weight or finish. The 750 ml figure describes the stated capacity, while stainless steel identifies the body material. The screw-top design describes the closure, and matte graphite identifies the finish.\n\nProduct details are kept together so you can review them before making your choice. If you are comparing several bottles, use the same fields for each one and check the Ridge specifications against your preferences. Explore the listing to decide whether Ridge belongs on your shortlist.",
  "attributes": {
    "capacity": "750 ml",
    "material": "stainless steel",
    "lid": "screw-top",
    "weight": "280 g",
    "finish": "matte graphite"
  }
}

# Ridge 750 ml stainless steel bottle

Looking for a 750 ml stainless steel bottle? The Ridge bottle brings its key specifications together in a matte graphite design. It has a stainless steel body, a screw-top lid and a listed weight of 280 g, giving you a clear starting point for comparing bottles by the details that matter to you.

## Capacity and material

The stated capacity is 750 ml. If capacity is your first filter, use that figure to compare Ridge with the other bottles on your shortlist. Its body is stainless steel, so shoppers searching specifically for that material can identify it directly in the product details.

## Lid, weight and finish

Ridge uses a screw-top lid. The listed weight is 280 g, and the finish is matte graphite. Together, those details describe the closure, weight and appearance without asking you to infer specifications from a product photograph.

## Compare the details before choosing

A useful bottle comparison starts with consistent fields. Put capacity, body material, lid type, weight and finish side by side. For Ridge, those fields read 750 ml, stainless steel, screw-top, 280 g and matte graphite. This gives you a product summary you can check against your own preferences and the specifications of other options.

The description keeps the product name and its attributes together so you can return to the same information while browsing. Whether you begin your search with capacity or material, the key details remain easy to find.

Explore the bottle collection and compare Ridge with your shortlist.

Suggested internal links:
- Bottle collection
- Stainless steel bottles

## Meet Ridge

Your everyday carry, in matte graphite. Meet Ridge: a 750 ml stainless steel bottle with a screw-top lid and a listed weight of 280 g.

### The details

- Capacity: 750 ml
- Body: stainless steel
- Lid: screw-top
- Weight: 280 g
- Finish: matte graphite

### Make it yours

Start with the details that matter to you. Capacity, material, lid, weight and finish are all here, ready to compare with the rest of your everyday carry.

Explore Ridge.

Illustrative client profiles and outputs. Your policy is built from your requests and agreed criteria.

After you register

From your real requests to a route built for you.

Register with your work email. We follow up personally to start with your workload; Omev runs the analysis, routing and checks automatically. This onboarding is available to every registered customer.

1. 01

   Share your real work

   Register and share a sample of production requests. Omev automatically groups them by task type and establishes your current models and cost baseline from the information you provide.

   Your tasks and baseline

2. 02

   Define good. Benchmark it.

   Agree the required facts, format, voice and quality criteria. Omev benchmarks its own models and sequences against those requirements and your current output.

   Criteria and measured results

3. 03

   Connect your tailored route

   Omev builds your routing policy and provides an OpenAI-compatible endpoint. Start with one task type; model selection, validation, repair and fallback run on our side.

   Your policy and endpoint

4. 04

   Improve with real usage

   Omev collects cost, latency, validation and retry telemetry. Production results feed automatic routing improvements measured against your acceptance criteria.

   A policy informed by real results

Keep frontier models for the hard stuff.
Stop overpaying for the rest.

You do not need to leave OpenAI, Claude or Gemini. Keep them on the work where frontier-level intelligence changes the answer, and send the repetitive, high-volume share of your traffic to Omev instead. Within that workload, Omev automatically selects from our own models, applies your client profile and checks the output against your criteria.

Find the use case you run at scale.

Choose the repeated workflow where volume—not difficulty—drives the bill. Each page shows the work, the unit economics and the safest way to test it.

SEO content

Bodies, metadata, anchors and refreshes. $0.15 in / $1.25 out per 1M tokens.

See the workloads →

GEO content

Answer pages, comparisons and source-backed refreshes for AI search.

See the workloads →

Social media

Scale every client voice without collapsing them into the same AI style.

See the workloads →

E-commerce

Turn fragmented supplier data into structured, publish-ready product records.

See the workloads →

Localization API

Apply product context, terminology and market rules to every localized release.

See the workloads →

Text humanization

Turn stiff AI drafts into natural, on-brand customer-facing text.

See the workloads →

Image API

Keep product and brand references consistent across bulk image generation.

See the workloads →

Video generation

Text or image to video from $0.039 a second. Early access.

See the workloads →

Audience intelligence

What your buyers ask, argue about and never say to you — with the quotes, links and counts behind every claim.

See the workloads →

Text analysis

Sentiment and entities from $0.50 per 1M characters. Categories, entity sentiment and moderation also available.

See the workloads →

For Agencies

Keep every client's rules separate while one team produces more.

See the workloads →

Text runs self-serve on your API key. Image and video access is enabled per account — video is in early access, and failed image generations are not billed.

What is the repetitive share of your bill actually costing you?

You know your monthly spend, so start there — no token arithmetic required. Enter what you spend, pick what runs that work today, then drag the share of it that is repetitive.

An estimate, not a quote. It prices the routed share against the matched Omev tier at list price on one representative request shape — 3,000 input and 2,000 output tokens, an assumption rather than a measurement — leaves the rest of your bill exactly where it is, and ignores any discount you have negotiated. If that work already runs on a light model, the gap is far smaller: against GPT-5.6 Luna on the same shape it is about 2%, and Luna can be cheaper on output-heavy prompts. In that case, use the benchmark to decide on total cost per accepted output rather than the rate card alone. This is arithmetic on the numbers you typed in, not a measurement of your prompts. The only figure worth acting on is the one you get from running 20 to 50 of your own production prompts through both.

Built for companies already running AI in production.

Built on our own models

Omev AI is not a wrapper and not an API reseller. The output you pay for is produced by two models we fine-tuned ourselves, trained on our own SEO corpus and served on our own GPU infrastructure. Where we use commercial vendor APIs, we use them in accordance with their terms of service. On top of our models we run our own routing, task contracts and output validation, which is what turns a raw model call into a finished SEO task.

We don't keep a list of banned niches.

If your vertical keeps getting refused, hedged or quietly watered down by a general-purpose model, that is a category policy talking — not a technical limit. Ours is written around conduct, not subject matter.

These are conduct rules, not topic rules, and they are published in full — read the Acceptable Use Policy. One obligation sits with you rather than us: where the law requires it, you must disclose that content was generated by AI.

Already on OpenAI, Claude or Gemini?

See which high-volume workloads you can move to Omev, what the published rate difference becomes at your scale and how to switch one production route without rebuilding the stack.

Or price your own token volume against every model, or browse all alternatives.

See what's inside before you sign up.

No black box. Your key, your live credit and every task you run — plus a playground that hands back working code. Click through the real screens.

curl https://llmapi.omev.be/v1/chat/completions \
  -H "Authorization: Bearer sk-U77…RPJQ" \
  -H "Content-Type: application/json" \
  -d '{"model":"omev-lite","messages":[{"role":"user",
       "content":"Write a meta description for a page about running shoes"}]}'

Transparent pricing. Two plans, no surprise invoices.

Personalised routing is available on both plans. Start with $5 of free credit, use published token rates or agree an individual contract.

Those are the rates, not a quality claim. We publish no benchmark scores of our own — a score on someone else's prompts tells you nothing about yours. Send us 20 to 50 of your production prompts and judge the output against what you run today.

The 1K comparisons use Google's published Gemini 3.1 Flash Image rates — $0.067 for Standard and $0.034 for Batch. Lite is compared with Standard; asynchronous Jobs with Batch. Pro generates 2K/4K images, so it is not presented as a cheaper version of a 1K product.

USD · Image and video access is enabled per account · Failed image generations are not billed · Confirm video failure billing during setup

Questions before you route