Search and Collect
Connect directly to arXiv, OpenAlex, and Semantic Scholar. Ingest papers, review abstracts, and build paper collections.
RGIS empowers PhD candidates, researchers, and labs to compile literature, run semantic theme analysis, and identify critical research gaps directly grounded in source documentation.
RGIS automates the repetitive tasks of literature review, converting collections of unstructured documents into organized synthesis matrices.
Connect directly to arXiv, OpenAlex, and Semantic Scholar. Ingest papers, review abstracts, and build paper collections.
Run automated semantic groupings, scoring urgency indices, and tagging priority levels across all documents.
Examine detailed score metrics, trace specific evidence citations, and download structured reports in Markdown.
RGIS is designed to assist researcher workflows, not bypass them. We prioritize auditability and validation.
Every suggested research gap is linked to specific sentences in academic sources. No hallucinations, only traceable observations.
RGIS acts as a discovery aid, framing findings as reviewable candidates. The researcher holds absolute edit and curation control.
All analysis histories, uploaded PDFs, drafts, and generated matrix data are isolated per account with absolute exportability and deletion rights.