The marketplace for
AI training data.
Aribase helps companies license proprietary code, documents, audio, video, and business records to AI labs. Our specialists assess each asset and match it with relevant buyer demand.
The catalog at a glance
- 18,371 code repositories
- 31,832 data assets
- 50,203 assets tracked
The catalog lists a selection of these, assessed and anonymized. Browse the catalog
Examples
Recently assessed
Real assets, described without naming the owner.
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Structured & Financial
Product catalog for books and other merchandise
- Over 40 million products, with millions of book records.
- Titles, categories, brands, formats, availability, and merchandising features.
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Video
Fixed-camera security footage
- Recordings from fixed cameras covering the car park and surrounding areas of an airport.
- Four separate terminals, giving multi-location perspectives.
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Images
Diagnostic radiology archive
- About 150 million diagnostic radiology images in DICOM format.
- MRI studies and other modalities such as X-ray and CT.
- Images and reports on a unified radiology platform across multiple imaging sites.
Data categories
What you can license
We evaluate assets across seven categories, with specialists assessing their quality, rights, and fit for buyer requirements.
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Code Repositories
Production codebases with real commit history, issues, and the decisions of a real team. -
Documents & Knowledge
Manuals, reports, contracts, wikis, research, and knowledge bases written by people who knew. -
Images
Photography, scans, product imagery, and visual archives with clean rights. -
Audio & Speech
Recorded calls, podcasts, interviews, and speech in every accent and language. -
Video
Footage libraries, productions, and archives, from raw B-roll to finished programs. -
Workflows & Conversations
Support tickets, chat logs, emails, and the step-by-step records of real work being done. -
Structured & Financial
Transactions, time series, pricing histories, and operational records at row scale.
Evaluation
How we evaluate data
Our specialists review each submission against three criteria.
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Provenance and rights
Who created the data and what can be licensed.
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Depth and context
Useful history, metadata, documentation, and relationships.
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Buyer fit
Relevance to an actual training, evaluation, or research requirement.
Licensing potential depends on the asset's quality, rights, and current buyer demand.
Licensing
How licensing works
Four steps from a first submission to a written license agreement.
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Submit
Tell us about the asset: what it is, how it was created, and what rights you hold.
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Assessment
Our specialists review the asset's quality, rights, and fit with buyer demand. We aim to send an initial assessment within two business days.
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Buyer matching
We introduce the asset to AI labs and model teams that have a matching requirement.
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License agreement
The scope of rights is set out in a written license agreement, signed with Aribase or directly with the buyer, depending on the asset.
Buyers and experts
For buyers and experts
For buyers
Tell us what your model needs: modality, domain, scale, and rights. We look for assets that fit, from sources beyond the open web.
Request dataFor experts
Paid AI training work for professionals: evaluate model outputs, create expert data, and lend your judgment to frontier systems. Remote and flexible.
Join the benchQuestions
Questions sellers ask
Do I keep ownership of my data?
Yes. Buyers receive defined rights to use the data for AI training and evaluation. Ownership stays with you, and you can keep using the data in your business.
Does Aribase buy my data?
No. Aribase licenses proprietary company data to AI labs and model teams. Depending on the asset, we license it from you and license it on to buyers, or we broker a license directly between you and the buyer. You keep ownership and can keep using your data.
Will anyone know my company is licensing?
No asset is listed publicly. Buyers see an asset only in anonymized form, without your company's name, and your company is named only with your consent, typically at contract time. Anonymized catalog entries are open to registered buyers. A buyer signs an NDA before receiving samples, data room access or prepared material.
How is Aribase paid?
There is no fee to submit an asset or receive an assessment. Aribase is paid only from licenses that close, a share agreed with you before any buyer sees the asset.
Is my license exclusive?
Only if you choose it and the buyer agrees. Exclusive means one buyer holds the licensed rights, while a non-exclusive license can go to several buyers. Every asset stays private and is never listed publicly, whether or not the license is exclusive. Pricing depends on the scope of rights, including any exclusivity.
How reliable is the first estimate?
It is an early indication based on the data categories, quantities and quality answers you give. Specialist review can move it up or down, and the final price is set in the written license agreement.
Insights
Notes on the market
- Guide
How to License Your Company's Data to AI Labs in 2026
A practical guide to licensing your company's data to AI labs: what qualifies, how an assessment works, how private deals work, and what to expect week by week.
- Pricing
What AI Training Data Is Worth: Lessons from Disclosed Deals
What disclosed AI training data deals teach about value: six deal archetypes, the scarcity logic behind pricing, and why a price is set in the written license agreement, not quoted in advance.
- Rights
The Rights Checklist Before Licensing Data for AI
The rights checklist before licensing data for AI: ownership, consent posture, third-party material, and identities. What preparation fixes and what must already be true.
- Code
Why Production Code Repositories Matter for AI Training
Why production code repositories matter for AI training: what buyers evaluate, why intact history matters, and how context multiplies value.
- Market
The Private Data Gap: What Labs Cannot Get from the Open Web
The private data gap: why the open web is exhausted, what AI labs cannot scrape, and how discreet licensing moves private archives to the teams that need them.
Start with an assessment.
We aim to send an initial assessment within two business days.