Manual Data Entry
Extracting comparable data from dozens of papers into spreadsheets takes weeks.
Stop spending weeks creating comparison tables manually. AI analyzes
Create publication-ready matrices in minutes, not days
Comparing studies systematically is painfully manual
Extracting comparable data from dozens of papers into spreadsheets takes weeks.
Each paper describes methods differently - standardizing is impossible.
Copy-paste errors and missed details compromise matrix accuracy.
Add new papers? Start over. Change categories? Rebuild everything.
Deciding what to compare across diverse studies is overwhelming.
Creating publication-ready tables that fit journal requirements.
AI extracts, standardizes, and compares study data automatically
AI reads papers and extracts comparable data points automatically
Matrices organize around your research questions, not rigid templates
Add papers and the matrix updates automatically with new comparisons
Import PDFs or connect your reference library
Tell AI what aspects of studies to compare
AI extracts and organizes data into publication-ready tables
My literature review matrix that would have taken 3 weeks was done in 2 hours. The AI caught details I would have missed.
The adaptive categories feature is brilliant. Changed my research focus mid-review and the matrix reorganized instantly.
96% accuracy rate for standard data points like sample sizes, methodologies, and key findings. Every extraction is linked to the source location in the paper, allowing easy verification and correction if needed.
Absolutely. Define your own comparison categories based on your research questions. The AI adapts to extract exactly the data points you need for meaningful comparison across studies.
The matrix automatically updates with new comparisons. The AI extracts data from new papers using your established categories and integrates them seamlessly into existing analysis.
Yes. The AI understands qualitative methodologies and can extract themes, participant characteristics, data collection methods, and analytical approaches for meaningful comparison across qualitative research.
Multiple export formats including publication-ready tables for Word, LaTeX formatting for journals, and interactive versions for online supplements. All properly formatted with citations.
The AI identifies contradictions and inconsistencies across studies, highlights methodological differences that might explain conflicts, and suggests ways to synthesize divergent findings meaningfully.
Full collaborative features with real-time editing, comment threads, and version tracking. Perfect for research teams working on systematic reviews or meta-analyses.
Stop building tables manually - let AI do the heavy lifting