Research Intelligence

Research Intelligence is a suite of AI-powered analysis tools that help you synthesize, compare, and visualize research across your entire library. These features go beyond individual document understanding to surface patterns, gaps, and connections across your research collection.

Extraction tables

Build structured comparison tables across your documents using AI-powered extraction.

How to use:

1. Select documents or a collection you want to compare
2. Open Extraction Tables from the research tools menu
3. Define the columns you want to extract (e.g., “Sample size”, “Methodology”, “Key findings”, “Limitations”)
4. Virza reads each document and extracts the relevant information into a structured table

Use cases:

• Systematic review data extraction
• Comparing methodologies across studies
• Building evidence synthesis matrices
• Extracting specific data points from multiple papers

Compare boards

Side-by-side document comparison with structured diff analysis.

How to use:

1. Select two or more documents
2. Open Compare from the right-click menu or research tools
3. Virza generates a structured comparison covering: objectives, methods, results, conclusions, and limitations

Use cases:

• Comparing a preprint with its published version
• Evaluating competing approaches to the same research question
• Identifying how different studies handle the same variables differently

Knowledge graph

Visualize citation relationships across your entire library.

The knowledge graph shows:

• Which of your documents cite each other
• Clusters of related papers
• Highly-cited hub papers in your collection
• Citation chains (paper A cites B, which cites C)

Navigate the graph by clicking nodes to open documents or zoom into clusters.

Contradiction detection

Automatically spot conflicting findings across papers in your library.

Virza identifies contradictions by:

• Comparing claims about the same variables across different studies
• Flagging when papers report opposing effect directions
• Highlighting methodological differences that may explain conflicting results

Research gap detection

Find topics your library doesn’t adequately cover.

Based on the themes and topics in your current collection, Virza identifies:

• Subtopics mentioned in your papers but not covered by any document in your library
• Methodological approaches used in related work but absent from your collection
• Time periods or populations that are underrepresented

Evidence synthesis

Strength scoring and quality assessment across your research.

For a given research question, Virza:

• Identifies all relevant evidence in your library
• Scores each source by relevance and quality
• Summarizes the overall evidence direction (supporting, contradicting, mixed)
• Highlights the strongest and weakest evidence

Discovery feed

Personalized paper recommendations based on your research context.

The discovery feed analyzes your workspace’s research focus and surfaces papers from external databases that:

• Align with your research themes
• Were recently published
• Are highly cited in your field
• Complement gaps identified in your library

Recommendations

Discover related papers based on shared themes and citations in your library. Virza identifies papers that:

• Share multiple citations with documents in your collection
• Cover similar topics from different perspectives
• Are frequently co-cited with your existing research