LOCAL-FIRSTAI research intelligence workspace

Turn literature intoresearch intelligence

Manage and read your literature locally. Connect evidence across papers to understand theories, variables and relationships — then discover defensible gaps and build research models you can trace back to source pages.

Your research library stays on your computer.

Local PDF storage · offline organization · only requested text is sent for AI analysis

PDFs stay local

Original papers remain on the researcher's computer by default.

Works without an account

Library, projects, reading and non-AI organization remain available offline.

Evidence before confidence

Structured claims link back to PDF pages and distinguish source facts from AI inference.

Cloud only when requested

Only content needed for a requested AI task is processed through ResorAI Cloud.

A FLEXIBLE RESEARCH LOOP

From papers to Evidence, GAP and model.

No fixed graduation workflow. Enter any module, add more literature and revise decisions whenever the research changes.

Organize papers
Capture Evidence
Compare research knowledge
Discover bounded gaps
Build and revise models
Capabilities

A literature library that becomes research knowledge.

Start anywhere, revisit anything, and keep every conclusion connected to its source.

Smarter literature management

Import local PDFs, complete metadata, apply journal rankings, organize projects and filter a growing research library.

Traceable paper intelligence

Read full PDFs and structure purpose, theories, variables, methods and findings with page-level Evidence.

Cross-paper matrices

Compare theories, variables, relationships, methods and contexts across a project without mixing research directions.

Evidence-driven gaps and models

Turn verified patterns and contradictions into bounded GAP candidates and editable model alternatives.

PAPER INTELLIGENCE

Paper Intelligence

Structure a paper's purpose, theory, variables, model, method and findings with source Evidence.

  • Metadata & Journal RankingsParse and review citation fields, then apply licensed ranking schemes without AI guesses.
  • Evidence TraceabilityReturn from a structured claim to the exact PDF page, snippet and character offsets.
  • Research MatricesCompare theories, variables, relationships, methods, contexts and existing models across papers.
Research CardEvidence · p.12
“Trust significantly mediates the relationship between perceived transparency and adoption intention.”
VARIABLETrustROLEMediatorSTATUSVerified
PDF page 1292% confidenceSource evidence
Variable MatrixProject · AI adoption
Trust12 papersMediator · DV28 Evidence
Transparency8 papersIV17 Evidence
Adoption intention15 papersDV34 Evidence
Perceived risk6 papersModerator11 Evidence
CROSS-PAPER INTELLIGENCE

Research Matrices

Compare theories, variables, relationships, methods, contexts and existing models across papers.

TheoryVariableRelationshipMethodContext
EVIDENCE-DRIVEN

Evidence-driven GAP Finder

Identify bounded gaps, contradictions and missing contexts with supporting and opposing Evidence.

ContextTheoryRelationshipContradictionMethodTemporal
RESEARCHER VALIDATION

Model Builder

Rebuild existing models and compare conservative, balanced and exploratory alternatives with provenance.

ConservativeBalancedExploratory
RESEARCH USE CASES

One evidence workspace, many research directions.

Designed first for researchers who need to understand and connect large literature collections without being forced into one degree workflow.

Business Research
Human Resource Management
Psychology
Education
Computer Science
Management
INSTITUTIONS · COMING LATER

Private deployment for research institutions.

Team workspaces, supervisor collaboration and institution deployment are future capabilities. The current product is designed for individual researchers and makes no claim that these services are available today.

Discuss future access

Your literature already contains the evidence.

ResorAI helps you see the connections — from Paper to Evidence, from GAP to Model.