Identify Research Gaps.
Backed by Evidence.

RGIS empowers PhD candidates, researchers, and labs to compile literature, run semantic theme analysis, and identify critical research gaps directly grounded in source documentation.

1-30Papers per RunBatch analysis capability
4Urgency Priority TiersCriticality classification
3Interactive ViewsCollect, Cluster, Pinpoint
Project: Clinical NLP Synthesis
Pipeline Ready
Ingested Sources (arXiv, OpenAlex)
Clinical Language Models and Efficiency Issues (2024)Synced
Attention Constraints in Medical Documentation (2025)Synced
Scaling Laws of Transformers in Clinical Domains (2026)Synced
3 documents analyzedLast synced 2m ago
Workflow

From Literature Search to Structured Gaps

RGIS automates the repetitive tasks of literature review, converting collections of unstructured documents into organized synthesis matrices.

Search and Collect

Connect directly to arXiv, OpenAlex, and Semantic Scholar. Ingest papers, review abstracts, and build paper collections.

Analyze with Structure

Run automated semantic groupings, scoring urgency indices, and tagging priority levels across all documents.

Review & Export Reports

Examine detailed score metrics, trace specific evidence citations, and download structured reports in Markdown.

Grounding & Trust

Designed for Rigorous Scientific Integrity

RGIS is designed to assist researcher workflows, not bypass them. We prioritize auditability and validation.

Evidence-First Grounding

Every suggested research gap is linked to specific sentences in academic sources. No hallucinations, only traceable observations.

Reviewer Control

RGIS acts as a discovery aid, framing findings as reviewable candidates. The researcher holds absolute edit and curation control.

Private Workspace

All analysis histories, uploaded PDFs, drafts, and generated matrix data are isolated per account with absolute exportability and deletion rights.

Start Your Systematic Literature Synthesis Today

Join academic researchers worldwide in accelerating literature reviews while preserving empirical rigor.