Yila is an AI research codex that turns questions into cited, verifiable work. It searches real papers across OpenAlex, PubMed, arXiv and Wanfang, then helps draft literature reviews, scientific figures, academic posters, slides and more. Every generated claim is designed to trace back to a specific source, addressing the hallucinated-reference problem of general chatbots.
The workspace covers the full arc from literature search through drafting and data analysis, with export formats for common academic outputs. Yila says it is private by default and built for researchers across fields and career stages, from graduate students to R&D teams.
