Upload 10–75 papers. LitRadar maps your corpus, clusters themes, highlights under-covered intersections, and generates evidence-linked gap hypotheses with stability scores.
Candidate gaps are relative to the uploaded corpus.
Relative to the uploaded corpus.
Preview is illustrative. Reports cite the exact excerpts used.
Built for real research workflows
LitRadar accelerates exploration and hypothesis generation, then points you back to the evidence so you can verify and write with confidence.
Quickly orient to a topic and learn how themes connect without keyword tunnel vision.
Compress the “scan phase” from weeks to hours, then validate gaps with evidence-linked outputs.
Compare corpora, check coverage, and document reproducible analysis choices.
A repeatable pipeline
Designed to be auditable: the same inputs produce the same outputs, with manifests and stability checks.
What you get
Every conclusion links back to the excerpts that support it, with confidence labels to keep claims honest.
Trust and reproducibility
LitRadar is designed to produce stable results for the same inputs and to clearly signal when inputs change.
The report includes a corpus manifest, deterministic processing settings, and stability signals so you can trust what you’re seeing and explain it to an advisor.
Beta Terms: By using LitRadar during beta, you agree to our privacy policy. We may use anonymized, aggregated statistics to improve the service.