About Shirabe AI

Shirabe AI is designed for researchers, graduate students, clinicians, science communicators, R&D teams, creators, and others who regularly move between literature review, document understanding, organization, presentations, and video deliverables.

It is especially suited to life science, medical, and healthcare research workflows where peer-reviewed papers, preprints, figure-heavy papers, reference managers, and explainer videos need to work together.

Shirabe AI gathers findings from sources such as PubMed, Semantic Scholar, and Deep Research, then helps organize them into Zotero, Notion, or another database you use.

Search results and source information can be kept together so later writing, review, and presentation work starts from organized evidence.

From notes, papers, or research results, Shirabe AI can automatically lay out key points into PowerPoint slides.

It is designed for moving from source material to a usable draft deck quickly, while leaving room for final review and editing by the user.

Supported workflows can move from summary to narration and then to an explainer video.

This is useful when a paper, slide deck, or research memo needs to become a shareable presentation-style video.

Users can connect supported external tools such as Zotero and Mendeley from the integration controls.

Connected tools help keep references and research outputs closer to the databases and workflows the user already relies on.

AI agent tasks run in a managed, isolated environment.

This allows research, file processing, and generation workflows to run separately from the user-facing application interface.