Research Intelligence Mate ranks new papers by what matters to you — your background, your projects, your team, and what you've been reading lately. It surfaces gaps in your topics and checks your next idea against the literature before you commit.
Pulling papers, deduplicating them, tracking what has been read, remembering three months later what each one said. Research Intelligence Mate runs that scaffolding continuously so the reading and the synthesis stay yours.
Paste an idea and the system ranks the closest prior work, showing exactly where each paper overlaps. Run a deeper search and get back a structured brief: the 5–10 closest papers, overlap per paper, and the baselines you would need to compare against.
You define the topics — the system profiles how you read inside them. Every paper arrives with a personal relevance score and a text or audio summary.
Pick two dimensions and the system builds a coverage matrix from your library. Sparse cells are flagged as gaps — not conclusions, just starting points worth checking.
Each note — text or audio — carries the DOI or arXiv ID it was generated from. Open the source from any view in one click. Summaries are a starting point for reading, not a replacement.
Relevance scores are built from your behavior — what you read, skip, save, share. The profile is inspectable and editable: tune it, reset it, or start fresh for a new project.
Share notebooks, suggest readings, comment on papers, fork a teammate's topic. The system serves the group; findings are versioned across everyone.