AI Training Data Marketplace
Marketplaces sell what already exists. We collect, process and trade what you actually need. Here is when each model makes sense.
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Nothing to browse, on purpose
There is no catalogue of ready datasets behind this page. Every requirement is matched against producer capability, which is why unusual languages and formats are possible at all.
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We do the matching
You describe the requirement once. We work out what can actually be produced against it and come back with an answer, including when the answer is no.
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Producers are checked first
Language coverage, recording capability, annotation depth and consent paperwork are verified before a producer is offered work.
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One contract, one delivery
You deal with us rather than with the producer. Documentation, quality checks and delivery all come from a single place.
How a marketplace model works
A data marketplace lists datasets that producers have already built, and sells access to them. The buyer browses, filters by language or category, and licenses what fits.
This is genuinely efficient when your requirement happens to match something on the shelf. You can see the specification before buying, the price is visible, and delivery is often immediate.
The limitation is that the shelf is fixed. If you need 200 hours of Sinhala conversational speech from speakers in a specific age range, the marketplace can only answer yes or no. It cannot go and produce it.
How sourcing to order works
The alternative is to specify what you need and have someone produce it. Nothing exists at the start, which feels slower and riskier, but the output matches your requirement exactly instead of approximately.
It also solves a problem marketplaces structurally cannot: exclusivity. A dataset on a marketplace is available to your competitors too. A dataset produced for you is not.
Which model fits which situation
The honest answer is that most serious AI teams need both, at different stages.
- Early experimentation: marketplace. You are testing whether an approach works and need data today, not in six weeks. Quality is adequate and speed matters more.
- Filling a known gap: marketplace, if something close enough exists. Check the speaker count and annotation guideline before assuming it does.
- Production training on a differentiated capability: sourced. If the data is part of what makes your model better than a competitor's, buying the same data everyone else can buy does not get you there.
- Rare languages or unusual conditions: sourced. Marketplaces carry what sells broadly; a 40-hour Basque project will not be on a shelf.
What we are, precisely
Datatoorder is an AI data and trading platform, not a stock marketplace. There is no shelf to browse and no instant checkout, because nothing is held in inventory: every project is collected, processed or licensed against a specification.
What we can offer that a stock marketplace cannot is coverage of requirements nobody has built for yet. That includes most of the 120 languages documented on this site, and essentially all of the unusual recording and annotation combinations. Where a dataset does already exist and fits, we license it, that is part of the trading business, not a fallback.
Marketplace against brokerage
| Dimension | Stock marketplace | Datatoorder |
|---|---|---|
| How you find data | Search a catalogue and filter by attributes | Describe the requirement; we match it to producers |
| Unusual languages | Available only if someone has already listed them | Producible wherever a native-speaker network exists |
| Delivery timeline | Days, if the listing fits | Longer, because production starts after the specification |
| Documentation | Varies by seller and is often thin | Consent and collection records delivered with the data |
| Rights | Whatever the reseller holds, sometimes unclear | Traced back to the source before the data is offered |
| When nothing fits | You leave with nothing | We say so, and tell you what would have to change |
The trade is speed for coverage. If a stock dataset matches your specification exactly, a marketplace will beat us on time and you should use one.
Both models exist in this market and both are legitimate. They fail in different ways, so the useful question is which failure you can live with.
A stock marketplace is fast when a listing already matches your specification. Brokerage is slower, but it can reach requirements that nobody has built for yet.
Where marketplaces break down
Marketplaces are good at discovery and bad at accountability. Knowing which parts of the transaction they actually control tells you where to spend your own checking.
None of these are reasons to avoid a marketplace. They are reasons to treat the listing as a starting point rather than a description of what you will receive.
- Listings go stale. Catalogue entries stay up long after the data has been licensed or the producer has stopped supplying it, and availability is often indicative rather than committed.
- The sample was curated. A sample that was assembled to be shown is not a random draw from the dataset. Ask how it was selected before you treat it as representative.
- The rights position is inherited, not warranted. Most marketplaces pass through whatever the seller asserted. If the seller's documentation is weak, the listing does not fix it.
- Metadata is inconsistent between sellers. Every producer describes channels, sampling rates and annotation depth in their own way, so comparison is manual work you have to do yourself.
- Nobody owns the failure. When the delivered data does not match the listing, the marketplace is usually a venue rather than a party to the dispute.
- Volume is a marketing number. Listed hours often describe what could be produced rather than what exists today.
Questions we get asked
Is sourced data more expensive than marketplace data?
Usually yes, per hour, because you are paying for production rather than for access to something already built. The comparison that matters is cost per useful hour: marketplace data that is 70% close to your spec can end up costing more once you account for the gap.
Can I get exclusivity on a marketplace dataset?
Sometimes, for a premium, if the producer offers it. It is worth asking, but many marketplace listings are non-exclusive by design.
Do you offer any ready-made datasets?
Sometimes. If an existing dataset genuinely fits your specification, licensing it is faster and cheaper than producing one, and we will say so. What we do not do is keep a stock catalogue to browse: the starting point is always your requirement, and if nothing existing fits, we collect or process it.
Keep reading
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AI Data Brokerage
A data broker sits between the people who need training data and the people who can produce it. Datatoorder does that as a platform: we collect and process data in-house, trade it, and source to order: with no stock catalogue and no recycled datasets.
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AI Training Data Providers
What to check before you sign with a training data provider, and how we compare on each point.
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Buy AI Training Data
A practical guide to buying training data without overpaying for hours you cannot use.
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Full data catalog
39 data categories across 120 languages, and how to specify each one.
Submit a sourcing request
Tell us the language, the hours, and what the data needs to look like. You will get a real number and a real timeline, not a range. If we cannot source it well, we will tell you that instead.
- Pilot batch before the full run, so problems surface early.
- Consent documentation delivered with the data.
- No medical or clinical data. No recorded telephone calls.
- You send the spec Language, hours, recording conditions, and the deadline.
- We reply within two business days A real number and a real timeline, not a range.
- You approve a pilot batch A small run first, so problems surface before the full order.
- Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.