Research agent that turns papers and data into cited reviews, figures and slides
Yila AI is an AI research workspace built for the way academic work actually happens. You can start from a research question, a DOI or paper link, or an uploaded PDF, Word document or CSV file. Yila then searches real scholarly indexes, reads the full text of the papers it finds, and writes literature reviews in which every sentence is tied to a specific source, so there are no invented citations to clean up later.
Beyond reviews, Yila can analyse datasets and return the reusable Python code alongside the charts, generate publication-style scientific figures, design conference posters, and convert a paper into a slide deck for a lab meeting or defence. Outputs stay editable and private by default, so a draft review or figure can be refined rather than regenerated from scratch.
Typical users are graduate students preparing a thesis chapter, researchers scoping a new topic, and lecturers who need a quick, honest overview of a field with references they can check.
