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+# 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, human-AI co-annotation, annotation methodology, and model evaluation
+- 📊 **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
+
+🌐 [appen.com](https://www.appen.com)  |  📘 [Whitepapers](https://www.appen.com/whitepapers)  |  🧪 [Data-Centric AI](https://www.appen.com/data-centric-ai)