# Appen
> Australian multinational company.

- Canonical entity: https://directory.readyscan.ai/entities/appen-q60741122
- Website listed in the source snapshot: https://www.appen.com/
- Category: [Businesses](https://directory.readyscan.ai/directory/businesses)
- Machine record: https://directory.readyscan.ai/discovery/entities/appen-q60741122.json
- Material fingerprint: fnv1a64:c6f89588eca5fc09
- Entity revision: fnv1a64:173820c3edff4d83
- Published: 2026-10-19
- Modified: 2026-10-19

## Questions & answers
### [What approach does Appen take to AI research services?](https://directory.readyscan.ai/entities/appen-q60741122#company-answer-content-native-digital-agencies-d246c8917de23a8d-a-8cae7a262f2e9bcdd3c7)
“Appen treats AI research as a managed operation: we combine context engineering, calibrated LLM-as-a-judge evaluation, synthetic data generation, and expert-in-the-loop review into a single workflow embedded directly in your research program, run to measurable quality standards rather than staffed by headcount alone.”
Sources: https://www.appen.com/ai-research-services

### [How is this different from data annotation?](https://directory.readyscan.ai/entities/appen-q60741122#company-answer-content-native-digital-agencies-d246c8917de23a8d-a-a20f702e31f0b8d39a9b)
“Standard data annotation labels existing data points in isolation. Our research services function as embedded research operations: we run the context engineering, calibrated evaluation, and benchmarking work your team would otherwise have to staff and manage in-house, positioned as an extension of your research program rather than a commodity labeling vendor.”
Sources: https://www.appen.com/ai-research-services

### [How do we validate LLM-as-a-judge accuracy?](https://directory.readyscan.ai/entities/appen-q60741122#company-answer-content-native-digital-agencies-d246c8917de23a8d-a-bc2bce56f63e404203f7)
“We calibrate and validate every LLM judge against human-rater ground truth before it is deployed at scale, measuring inter-annotator agreement with Krippendorff's alpha and Cohen's kappa. Agreement scores and audit trails are documented for every deployment, and human validation is retained wherever the stakes are highest.”
Sources: https://www.appen.com/ai-research-services

### [How do we handle sensitive enterprise data?](https://directory.readyscan.ai/entities/appen-q60741122#company-answer-content-native-digital-agencies-d246c8917de23a8d-a-873b4812edb2bbb37331)
“All sensitive enterprise data is PII-scrubbed before it enters any workflow and processed only within governed environments, with practices aligned to ISO 42001 and applicable data protection regulations such as GDPR and CCPA.”
Sources: https://www.appen.com/ai-research-services

## Company sources
- [Appen website](https://www.appen.com/) — appen.com
- [appen.com/ai-research-services](https://www.appen.com/ai-research-services) — appen.com · [Related Ready Scan knowledge](https://readyscan.ai/sources/source-e4d07094643a8d74)
- [wikidata.org/wiki/Special:EntityData/Q60741122.json](https://www.wikidata.org/wiki/Special:EntityData/Q60741122.json?revision=2420945913) — wikidata.org · [Related Ready Scan knowledge](https://readyscan.ai/sources/source-35648009e2a8eb0e)

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