LLM evaluation and red teaming
For large language model developers
Appen: Human-Validated Data Infrastructure for High-Stakes AI
Managed data annotation, evaluation, and sourcing for enterprise-grade AI systems
Appen Overview
Appen provides managed data services for teams developing production-grade AI systems where quality, compliance, and linguistic diversity are essential.
With a global contributor network and robust QA layers, Appen delivers structured data for training, evaluating, and refining AI across text, image, video, and audio formats—especially in high-risk or regulated environments.
Main Features
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Pipeline Automation & Monitoring
Automate extraction processes, manage failures and monitor performance for reliability at scale
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Multi-Source Input Support
Target specific pages, crawl entire domains or extract data using advanced search queries and AI-driven selection.
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Dynamic Content Handling
Render and extract data from JavaScript-heavy and interactive websites.
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Proxy and Unblocking
Overcome anti-bot measures, CAPTCHAs and geoblocks using proxies and browser automation.
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Structured & Flexible Outputs
Convert web data into clean, AI-ready formats such as JSON or Markdown or even vector embeddings.
Use Cases
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Content moderation
Using labeled social media samples in high-noise, multilingual contexts
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Computer vision labeling at scale
As used by adtech platforms like GumGum
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Multilingual localization
For global platforms like Microsoft Translator
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Compliance-ready data pipelines
In healthcare, finance, and legal domains
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Generative AI output evaluation
With structured QA and human scoring
Why Teams
Choose Appen
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Global linguistic depth
Supports rare dialects and cultural nuance through contributors in 170+ countries -
High QA rigor
Multi-tier quality assurance with benchmark tasks, consensus scoring, and gold standards -
Compliance-ready workflows
ISO 27001, GDPR, HIPAA alignment for use in regulated and high-risk sectors -
End-to-end management
Appen handles the operational burden with secure, managed pipelines -
Proven at scale
Used by top AI companies and platforms requiring accuracy over speed
Alternatives
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Scale AI Review
Scale AI is a developer-first data annotation and evaluation platform that powers high-quality training data pipelines for machine learning and AI systems.
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Bright Data Review
Bright Data provides enterprise-grade infrastructure for public web data collection, built to support the entire AI data lifecycle.
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Anyverse Review
Anyverse is a simulation-first synthetic data platform built to serve computer vision teams working on high-risk, sensor-driven AI systems.
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Mostly AI Review
Mostly AI is a synthetic data platform designed to generate privacy-preserving, production-ready datasets that retain the statistical fidelity of original data
Final Thoughts
Appen delivers enterprise-grade data quality, linguistic coverage, and QA depth for teams building AI systems in regulated or high-stakes domains. It’s not the fastest or cheapest—but it’s one of the most reliable.
