Vendor profile · Directory · Managed service
Appen
The category’s longest-running operator: a publicly traded managed data provider with a crowd of over one million contributors in 170+ countries.
| Model | Managed service + crowd platform (CrowdGen), publicly traded (ASX: APX) |
|---|---|
| Founded | 1996 |
| Headquarters | Sydney, Australia |
| Pricing | Not published — project-based quotes |
| Website | appen.com |
What Appen does
Appen has supplied AI training data since 1996 and is listed on the Australian Securities Exchange (ASX: APX), which makes its financials public — a transparency outlier in this market. It reported roughly $231 million in revenue for the twelve months to December 2025.
Its offering spans data collection, annotation and model evaluation, delivered as managed services and through its ADAP annotation platform. Its contributor crowd, accessed through CrowdGen, is company-reported at more than one million people across 170+ countries and 235+ languages.
Strengths
- Publicly traded — audited financials are a matter of public record
- Largest stated language and country coverage in the category
- Three decades of operating history across speech, search and LLM data
Considerations
- Crowd figures are company-reported, as with every vendor in this category
- Project-based pricing only — no published rate card
- Business is split between Appen China and Appen Global segments, which matters for some data-residency requirements
Other managed services in the directory
- Scale AI — The largest enterprise data engine: annotation, RLHF, evaluation and red-teaming delivered as managed programs for frontier labs and governments.
- Surge AI — The bootstrapped quality maximalist: over $1 billion in 2024 revenue with no outside capital, built on credentialed experts rather than crowd volume.
- iMerit — A managed data-services company that pairs employed specialist teams with its Scholars expert network — and, since 2026, sits inside EXL.
- Sama — The original impact-sourcing annotation company: a Certified B Corp running managed programs with its own full-time workforce in Kenya and Uganda.
- CloudFactory — A managed-workforce company: trained analyst teams in Nepal and Kenya delivering annotation and data processing as a consumption-priced service.
- Cogito Tech — A US-registered managed annotation company whose India-based workforce and specialist consultants concentrate on healthcare, legal and financial AI data.
- Label Your Data — A managed annotation service that does the rarest thing in this market: publishes its per-unit prices, with no minimum order.
- Zilo AI — A Bangalore staffing-and-annotation firm with a distinct model: its annotators work inside the platform you already use, instead of selling you theirs.
- TELUS Digital — The telecom-owned data giant: TELUS’s digital arm runs one of the world’s largest AI data operations, built on the $935M acquisition of Lionbridge AI.
Frequently asked questions
What does Appen do?
The category’s longest-running operator: a publicly traded managed data provider with a crowd of over one million contributors in 170+ countries.
How much does Appen cost?
Appen does not publish pricing (not published — project-based quotes). Any figure quoted by third parties is an estimate; budget discovery requires engaging the vendor directly.
Who is Appen best for?
Multilingual and speech/audio data at global scale, and buyers who value a vendor with public financial reporting and a 30-year operating history.
Who should not use Appen?
Buyers who need frontier-lab expert demonstrations — Appen’s strength is breadth of crowd and language coverage, not credentialed-specialist depth.
Sources
- Appen company profile — Kalkine (ASX: APX)
- Appen vs alternatives comparison — SourceBae
- Appen 2026 AGM CEO address — ASX announcements
Facts on this page were drawn from the public sources above, checked November 2026. If you spot an error, tell us at the corrections address in the footer — we fix sourced errors and note the change.
Profile last updated: November 8, 2026 · How we write profiles · Corrections: [email protected]