# Appen AI Research **The data behind the models you use every day.** Appen sits at the intersection of human expertise and AI development โ€” 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 - ๐Ÿ“„ **Research** โ€” data-centric AI, model performance, model localization and model safety - ๐Ÿ“Š **Benchmarks** โ€” evaluation suites covering hallucination, bias, annotation quality, and model readiness - ๐Ÿ“˜ **Whitepapers** โ€” practical guides on responsible AI, data strategy, and the annual State of AI & ML report ## Where our expertise runs deep - **Alignment & RLHF** โ€” CoT reasoning traces, SME-led feedback, SFT demonstrations, adversarial red teaming - **Multimodal** โ€” VLM training data, image-text pairs, video annotation, structured document labelling - **Speech & audio** โ€” 500+ global locales, expressive TTS, dialectal and code-switched speech - **Evaluation** โ€” hallucination benchmarking, A/B arena testing, bias detection, regulatory audit support - **Embodied AI** โ€” 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](mailto:researchteam@appen.com) ๐ŸŒ [appen.com](https://www.appen.com)  |  ๐Ÿ“˜ [Whitepapers](https://www.appen.com/whitepapers)  |  ๐Ÿงช [Data-Centric AI](https://www.appen.com/data-centric-ai)