Appen AI Research

The data behind the models you use every day.

Appen sits at the intersection of human expertise and AI development — we've helped build training data for the world's leading search engines, ranking models, and frontier LLMs. Now we're publishing the research, benchmarks, and insights that come from working at that scale.

What we publish here

• 📄 Research — data-centric AI, model performance, model localization and model safety
• 📊 Benchmarks — evaluation suites covering hallucination, bias, annotation quality, and model readiness
• 📘 Whitepapers — practical guides on responsible AI, data strategy, and the annual State of AI & ML report

Where our expertise runs deep

• Alignment & RLHF — CoT reasoning traces, SME-led feedback, SFT demonstrations, adversarial red teaming
• Multimodal — VLM training data, image-text pairs, video annotation, structured document labelling
• Speech & audio — 500+ global locales, expressive TTS, dialectal and code-switched speech
• Evaluation — hallucination benchmarking, A/B arena testing, bias detection, regulatory audit support
• Embodied AI — World Model Data, Egocentric Data, Robotics, LiDAR.

Learn more

Interested in our Research, our Benchmarks or how we can support your GenAI efforts? Reach out to researchteam@appen.com

🌐 appen.com  |  📘 Whitepapers  |  🧪 Data-Centric AI