Every stage of research. One structured platform.
Research OS manages the full research workflow — from initial landscape analysis to final audit-ready reporting — with AI assistance at every step.
The Research Workflow
Five structured stages. Each with AI assistance and human review.
01
Landscape
02
Hypothesis
03
Execution
04
Analysis
05
Reporting
01
Landscape
The Landscape stage covers scientific and technical background analysis. It helps research teams understand the current state of the field before defining research questions.
AI assistance
AI scans large volumes of information and generates initial summaries. Researchers review and confirm relevance.
Capabilities
- Literature scanning
- Technical landscape analysis
- Prior art review
- Research gap identification
Inputs
- Research topic
- Research scope
- Technical domain
Outputs
- Landscape summary
- Technical background report
- Research opportunity identification
02
Hypothesis
The Hypothesis stage is used to define research questions and design experimental hypotheses. It structures the research plan before execution begins.
AI assistance
AI generates hypothesis drafts and experiment design suggestions. Researchers review and confirm the research logic.
Capabilities
- Research question definition
- Hypothesis generation
- Experiment framework design
- Research plan structuring
Inputs
- Landscape outputs
- Research objectives
Outputs
- Hypothesis document
- Experiment design
- Research plan
03
Execution
The Execution stage manages the running of experiments. It captures data, tracks iterations, and maintains structured experiment records throughout the process.
AI assistance
AI assists with organising experiment records and identifying anomalies. Researchers confirm process and results.
Capabilities
- Experiment logging
- Iteration tracking
- Data capture
- Experiment workflow management
Inputs
- Hypothesis document
- Experiment design
Outputs
- Experiment logs
- Iteration records
- Experimental results
04
Analysis
The Analysis stage processes experimental results to generate research insights. It identifies patterns and produces draft conclusions for researcher review.
AI assistance
AI generates analysis report drafts. Researchers interpret the research significance and validate findings.
Capabilities
- Result analysis
- Pattern recognition
- Research insight generation
- Draft conclusions
Inputs
- Experiment results
- Experiment logs
Outputs
- Analysis report
- Research insights
- Key findings
05
Reporting
The Reporting stage generates structured research documentation. It produces audit-ready records that can be used for internal reporting, grant applications, or R&D documentation.
AI assistance
AI generates report drafts and organises documentation. Researchers review and confirm final reports.
Capabilities
- Research report generation
- Experiment record organisation
- Research log archiving
- Audit record generation
Inputs
- Analysis results
- Experiment records
Outputs
- Research reports
- Structured documentation
- Audit-ready research records
Built for teams. Flexible by design.
Research OS uses a Seat + Modules structure. Each team member gets the capabilities they need for their role.
Seat
A Seat is a user account. Each team member has one Seat, which gives them access to the system and their assigned Modules.
Modules
Modules are research workflow capabilities assigned to Seats. Each Module corresponds to a stage of the research workflow.
Example team configuration
Alice
Senior Researcher
Bob
Research Engineer
Jack
Research Analyst
See Research OS in action
Get in touch to see how Research OS can support your research team's workflow.