Systematic Literature Reviewer AI
SLR-AI turns systematic literature reviews into a fast, reproducible workflow.
Search across databases, score relevance with Gemini, enforce screening rules, and deliver reviewer-ready exports in one place.
Review queue snapshot
- Jobs running4
- Papers screened512
- In reviewer backlog38
- Accepted27
Avg. screening time
45% faster with shared rules
Traceability
Search objects stored for every run
Reviewer alignment
Conflict flags + Cohen's Kappa
Exports
PDF, CSV, BibTeX in one click
Everything you need to run a defensible review
Built for research teams that demand reproducibility, transparency, and speed.
Programmatic search objects
Save query strings, timestamps, and raw exports so every run is fully reproducible.
Rules-first screening
Apply inclusion and exclusion logic at project and job level with rationale capture.
Reviewer conflict control
Compare researcher decisions side-by-side, resolve conflicts, and track adjudication.
Export with confidence
Generate PDF, CSV, and BibTeX deliverables with final decisions and summaries.
From query to publication in one pipeline
Move through discovery, screening, and review with guardrails that keep teams aligned.
Scope the project
Define topics, assign roles, and set visibility for collaborators.
Launch searches
Run keyword jobs across sources and your internal corpus.
Screen with rules
Capture inclusion/exclusion decisions with enforced rationale.
Review & export
Resolve conflicts and publish final outputs in minutes.
“We cut our screening time in half and finally have a clean audit trail for every decision.”
Neural Interfaces Lab“The reviewer view and BibTeX export saved us days before submission.”
Biomedical Signal Group“SLR-AI keeps our team aligned without spreadsheets or email chains.”
Clinical Research UnitReady to run your next review?
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