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Appen: /ai-research-services

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  1. Appen

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    Appen is an Australian multinational company.

    • What approach does Appen take to AI research services?

      “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.”

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    • How is this different from data annotation?

      “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.”

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    • How do we validate LLM-as-a-judge accuracy?

      “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.”

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    • How do we handle sensitive enterprise data?

      “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.”

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