About

Better models start with better relationships.

We built HUMXN because the way AI gets its data is broken for everyone involved: builders inherit legal risk, creators are taken from without asking, and the experts whose judgement models need most are rarely in the loop.

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Our view

Data is not a commodity to be scraped. It is the work and knowledge of real people, and it is worth more when they choose to share it.

Why private

A marketplace that makes introductions.

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Open data marketplaces optimize for volume. We optimize for fit. Every buyer, expert and creator on HUMXN is approved before they join, and we make the introductions: matching a lab's brief to the creators who hold suitable work and the specialists who can make what doesn't exist yet.

That means AI teams see curated selections rather than an endless catalogue, experts see only work that matches their verified field, and creators know exactly who licensed their work and on what terms.

It also means relationships outlast a single order. When a model's needs change, the same network is there to meet them, at the same standard.

Principles

What we hold every dataset to.

01

Consent first

Nothing enters a dataset without a licence or release from the person who holds the rights.

02

Proof over promises

Every claim we make about an item is backed by a record you can check.

03

Pay the people

Creators and experts are paid for their contribution, transparently and automatically.

04

Human by default

We check origin and keep synthetic content clearly labeled, so you know what you're training on.

05

Privacy by design

Personal data is detected and masked; location and personal fields never reach buyers.

06

Plain language

Licences, terms and limits are written to be understood, including what technology can't do.

Build with us, or for us.

Whether you're training a model, have expertise to contribute, or make work worth learning from, there's a place for you in the network.