Models & datasets

Models for your industry.

Three levels. Each one includes the one below it, so you can start wherever you already are.

Level 1

Raw images

you label and train them yourself

Minimum 1,000 images

What you get

Quoted by how hard the images are to get. Common subjects are quick and cheap. Anything nobody else has is priced on what it takes to find or shoot it. Either way you see the number before anything starts. Minimum order 1,000 images.

Licensed data, not scraped data.

Free datasets are usually research-only. Everything here is cleared for commercial training with the provenance on record.

Level 2

Images with labels

you train on them yourself

Licensed for one model

What you get
AnnotationUnitPrice
Image tagsper 1,000 imagesquoted
Bounding boxesper 1,000 imagesquoted
Keypointsper 1,000 imagesquoted
Polygon masksper 1,000 imagesquoted

Quoted on the work and the imagery together. Tags are quick, masks are slow, how many objects sit in each frame changes everything, and the images themselves cost what they cost. Common subjects are cheap, rare ones are not. You see the number before anything starts.

Licensed for the model you are building. Train it, retrain it, ship it, keep the files. Using the same set for a different product, or passing it on to anyone else, is quoted separately.

Level 3

A trained model

nothing left for you to build

From USD 4,500

What you get

Option A · we hand you the model

What you getAll in, from
Classification ModelUSD 4,500
Detection ModelUSD 5,500
Keypoint & Pose ModelUSD 6,500
Segmentation ModelUSD 7,500
Tracking ModelUSD 9,000

What you get is the model. Finding the data and labeling it are part of the price, but the dataset behind the model stays with us. Each price covers a starter dataset sized for the task, on common imagery. A larger set, or a subject nobody has captured, is priced on top. If you want the dataset too, see Who keeps the data below.

Option B · we set that same model up for you

Same model, delivered as an endpoint instead of a file. We package it as a container that runs inside your own cloud, whether that is AWS, Azure, Google Cloud, Alibaba Cloud or your own servers. Your images never leave it and your team calls it like any other internal service. You keep it running for as long as you need it. Quoted per project.

Your cloud images the model results

Beyond both · a deeper version of either one

Production tier

from USD 20,000

Not another kind of model, a deeper version of any of them. A dataset several times larger, more rounds of iteration, and help getting the model running where you actually need it. Scoped and quoted per project.

Services

From “we have no data” to “the model is in production.”

Take any one of these on its own, or hand us the whole chain.

01

Dataset sourcing

Name the data and we'll get it. If it already exists, we license it. If it doesn't, we collect it to your spec, field capture, commissioned shoots, synthetic generation, or a targeted top-up of the exact edge cases your model keeps failing on. If it can be captured or licensed, we can get it.

02

Ready-made datasets

License a dataset that already exists instead of building one from zero, usually the cheapest way to get moving. Splits are made, class distribution is documented, and the labeling guide ships with it, so you know what each class was supposed to mean.

03

Labeling & annotation

Your images and video, labeled to a written guide we agree on before anyone draws a box. Ambiguous frames go to a review queue instead of a guess, and the answer gets written into the guide so it never comes up twice.

04

Model training

We train, tune and benchmark on the data we built, then hand over the weights, the export you asked for, and an evaluation report your own team can read without a translation layer.

Questions about the price

These are starting points, not a formula.

Can the price change?

What a model costs depends on what you are building, what it has to do once it is running, and how accurate it has to be to be worth running at all. Dataset size, class count, boundary precision and how many rounds of iteration you want all move the number, in either direction.

Who keeps the data?

The trained weights are yours. The dataset behind them is not, by default. If the images were yours to begin with, they stay yours. What the data costs on top depends on what it is. Common imagery is a small addition, rare imagery is not.

Model onlythe dataset stays with usincluded
Model + datasetyou get the data, we may still reuse itquoted
Exclusiveyou get the data and we never reuse itquoted
Can I set an accuracy target instead?

Priced differently, and only after a paid feasibility study. Plain accuracy is usually the wrong number anyway: on a line that is 99% good parts, a model that calls everything good scores 99%. Detection is judged on mAP, segmentation on mIoU, keypoints on OKS. Nobody can promise a number on data they have not seen.

All prices in US dollars. Invoices can be issued in another currency on request.

Not sure which level you are at? Send what you have, even if it is only a description of the problem, and we will tell you which one fits before anything is priced.