Run research that's structured, traceable, and audit-ready.
Research OS helps teams manage the full research cycle — from landscape analysis to final reporting — with AI assistance and human oversight.
Research in the AI era is getting harder to manage
AI tools generate more output than ever — but without structure, research workflows become fragmented, untrackable, and difficult to audit.
Fragmented workflows
Research notes, experiments, and reports live in different tools with no structure.
Untracked AI output
AI-generated content is hard to verify, trace, or audit.
No audit trail
Without structured records, research becomes difficult to review or report.
A structured workflow for every stage of research
Research OS organises your research into five stages — each with AI assistance and human review.
01
Landscape
Scan literature, analyse prior art, identify research gaps.
02
Hypothesis
Define research questions, design experiments, structure research plans.
03
Execution
Run experiments, capture data, track iterations.
04
Analysis
Analyse results, identify patterns, generate insights.
05
Reporting
Generate audit-ready reports and structured documentation.
AI assists. Researchers decide.
Research OS is built on a Human + AI collaboration model. AI handles information scanning, draft generation, and data organisation. Researchers review outputs, validate findings, and make research decisions.
AI handles
- Literature scanning
- Draft generation
- Data organisation
Researchers decide
- Review AI outputs
- Validate findings
- Make decisions
AI Layer
Human Layer
Built for research-driven organisations
AI Research Teams
Applied AI and machine learning research groups.
Deep-tech Startups
Early-stage companies conducting technical R&D.
Corporate R&D
Internal research teams within larger organisations.
University Labs
Academic research laboratories and applied research groups.
Ready to structure your research workflow?
Join research teams using Research OS to run structured, traceable research.