Training-data company
Appen
Appen is a training-data company with 30 years in AI data that now licenses permissioned operational data from enterprises to AI labs. Its enterprise data page says Appen covers extraction, anonymization and transfer at no cost to the seller, quotes each partnership individually and pays on acceptance of the data. It also sells 646 off-the-shelf datasets with perpetual, non-exclusive training rights.
Facts checked against Appen's own pages in November 2026. Visit Appen
At a glance
- What it buys
- Operational documentation, decision and escalation records from support, ITSM, CRM and messaging tools, and systems of record such as ERP, finance, contracts and procurement
- Published payout
- Not published. Each partnership is quoted individually, based on volume, connected systems, workflow complexity and rarity
- Size requirement
- Not published. Appen responds to registrations within two business days
- Exclusivity
- Not published. Appen says your data is never commingled with another partner's
- Fee to seller
- None. Appen covers extraction, anonymization, preparation and transfer, with no setup fees or deductions
- Payment timing
- On acceptance of the data rather than submission. No number of days published
Key takeaways
- Appen is a training-data company.
- What it buys: Operational documentation, decision and escalation records from support, ITSM, CRM and messaging tools, and systems of record such as ERP, finance, contracts and procurement.
- Published payout: Not published. Each partnership is quoted individually, based on volume, connected systems, workflow complexity and rarity.
- Size requirement: Not published. Appen responds to registrations within two business days.
- Exclusivity: Not published. Appen says your data is never commingled with another partner's.
- Facts checked on Appen's own pages in November 2026.
What does Appen buy from companies?
Appen buys licenses to permissioned operational data that shows how work gets done inside a company. Its enterprise data page lists three groups: operational documentation such as procedures and knowledge bases, decision and escalation records from support desk, ITSM, CRM, project and messaging tools, and systems of record including ERP, finance, contracts, HR and procurement.
Appen says you own the data at every stage and grant a defined license for a defined use, with retention and deletion terms agreed in writing. You name the systems, teams and time periods in scope, and review a representative sample pack before anything is licensed.
How does Appen handle and pay for the data?
Appen says extraction and anonymization are automated, that no lab or third party sees raw data, and that personal data is removed by default, with synthetic rewriting where needed. Payment comes on acceptance rather than submission. Its FAQ adds that companies winding down should act before systems are decommissioned, a point our guide to selling data from a closed company covers.
Appen's data catalog separately sells 646 pre-licensed datasets across nine categories under perpetual, non-exclusive commercial training rights, with contributor consent and documented provenance. That catalog is a source for AI buyers rather than an outlet for company records.
Who is Appen a good fit for?
Appen suits enterprises with connected business systems and documented workflows that want a buyer to handle extraction. Because it publishes no price range or exclusivity terms, compare its quote with buyers that do, such as Scale AI or Endless Data, and agree the acceptance test in writing.
Comparing buyers?
Published payouts are ceilings, not quotes. We can put your records in front of several vetted buyers and compare offers on the same terms. Get a free valuation.
Sources
- Enterprise data to advance frontier AI, Appen, accessed November 2026
- Data catalog, Appen, accessed November 2026
- Appen homepage, Appen, accessed November 2026
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Appen is listed for reference. We are independent and this page is not an endorsement. If anything here is out of date, email hello@sellmydatatoai.net and we will correct it.