Research AI (DRE)
Transform messy clinical spreadsheets into audit-ready publications with transparent AI assistance.
From spreadsheet to publication
Research AI is designed for real-world clinical datasets: messy headers, multi-sheet workbooks, and evolving study definitions, while keeping decisions reproducible.
Complete research toolkit
Everything you need for an auditable workflow from input to export.
AI-assisted mapping
Raw → canonical transformation with explicit, reviewable specs.
Deterministic analysis
A stats engine you can rerun later and get the same results.
Draft generation
Structured narrative grounded in computed outputs, not fabricated math.
Audit trail
Traceable inputs, transforms, approvals, and exports.
Collaboration
Workflows designed for teams and reviewers.
See it in action
From data upload to publication-ready manuscripts.
Complete workflow from mapping to publication
ML baselines with interpretable feature analysis
Publication-ready cohort tables
AI-drafted manuscripts grounded in your data
How it works
Upload data
Import spreadsheets and cohort exports
Map variables
AI proposes canonical mappings; you approve
Run analysis
Deterministic engine computes results
Export
Artifacts + drafts with provenance
Supported study types
- Retrospective clinical cohort studies
- Simple parallel-group RCTs
- Case-control studies
- Cross-sectional studies
Technical specs
Research AI is built to reduce "black box" risk: deterministic computation, explicit specs, and traceable outputs.
Ready to try Research AI?
Launch the app, or request a demo for your dataset and study type.