AI Data Brokerage

What a data broker actually does

The training data market has a structural problem. On one side are AI teams that know exactly what they need — 400 hours of Levantine Arabic call-center audio, recorded on headset, with intent labels — but have no idea who can produce it. On the other side are studios, annotation firms, and field teams with the capability but no way to find that buyer.

A broker closes that gap. We take the specification, find the producer who can actually meet it, define the quality bar with both sides, and stay accountable through delivery.

That is different from a marketplace, where listings sit on a shelf waiting to be found. It is also different from a licensing reseller, where you buy whatever happens to be in the catalog. Brokerage starts from your requirement, not from existing inventory.

What we do not do

Being clear about the boundaries saves everyone time.

• We do not resell datasets we have licensed from someone else. Every delivery is sourced for the buyer who ordered it.
• We do not take on medical or clinical data, and we do not touch recorded telephone calls. Both carry consent and privacy exposure that we are not set up to carry.
• We do not publish prices on this site. Every quote depends on language, hours, recording conditions, and annotation depth — a number without those inputs would be fiction.

How a project runs

It starts with a written specification. We will not quote against a vague request, because a vague request always ends in a dispute about what was promised. Hours, number of distinct speakers, language and dialect, recording environment, annotation type, and delivery format all get written down before anyone records anything.

Then we match. We go to producers we vet against the spec, confirm they can hit it, and get a real cost and timeline. If nobody can, we say so rather than take the order and improvise.

Then we set the quality gate. A pilot batch gets recorded and annotated first, and the buyer reviews it before the full run begins. This is the single most effective way to avoid a rejected delivery — problems that would cost a full re-record get caught after a few hours instead.

Then we deliver, with the compliance documentation that makes the data usable: speaker consent records, collection methodology, and the annotation guideline the data was produced under.

Why buyers use a broker instead of going direct

The obvious argument against a broker is cost — you are adding a layer, and layers cost money. The less obvious argument for one is that the layer absorbs work you would otherwise do badly.

Finding a producer for an uncommon language takes weeks of cold outreach, and most of the people who respond cannot actually deliver. Vetting means checking whether they have done this language before, whether their annotators are native speakers, and whether their consent paperwork would survive a legal review.

Then there is the coordination cost. A single multilingual project can involve a dozen production teams across as many countries, each with different standards and different turnaround. Making those outputs land in one consistent format is real work, and it is work that has nothing to do with your model.