Reproducible ResearchMade Simple
Automatically analyze academic papers for reproducibility. Extract claims, replicate code, and generate comprehensive reproducibility reports using AI.
Free during MVP phase • No credit card required
Everything you need for reproducibility analysis
Our AI-powered platform handles the entire reproducibility pipeline, from paper submission to comprehensive reporting.
Automated Parsing
Advanced PDF processing extracts metadata, structure, and content from academic papers with high accuracy.
AI Claim Extraction
Machine learning models identify and classify research claims with confidence scores and precise location tracking.
Code Replication
Secure sandboxed execution of research code with complete environment tracking and result validation.
Provenance Tracking
Complete audit trail of all processing steps with cryptographic verification and immutable execution records.
Reproducibility Scoring
Multi-factor scoring algorithm evaluates claims against code execution results with human review capabilities.
Comprehensive Reports
Professional PDF and web reports with detailed findings, visualizations, and actionable recommendations.
How Shurlee Works
Our automated pipeline transforms research papers into actionable reproducibility insights in minutes, not months.
Submit Your Paper
Upload a PDF, provide a DOI, or paste a URL. Our system automatically ingests and validates the paper for processing.
AI Analysis
Advanced machine learning models extract research claims, identify code repositories, and prepare the replication environment.
Secure Execution
Code runs in isolated sandboxes with complete provenance tracking. All execution details are captured for audit and verification.
Generate Report
Comprehensive reproducibility report with scores, detailed findings, and recommendations for improving research transparency.
Ready to advance reproducible research?
Join researchers and institutions using Shurlee to ensure their work meets the highest standards of scientific reproducibility.
About Shurlee
Shurlee is building the future of scientific reproducibility analysis. Our mission is to make reproducible research the standard, not the exception, by providing automated tools that scale beyond human capability.
By combining advanced AI, secure code execution, and comprehensive provenance tracking, we're creating a new standard for research transparency that benefits researchers, institutions, and the broader scientific community.
Currently in MVP phase, we're working with select research groups to validate our approach and build the most effective reproducibility analysis platform for academic research.