The reality of research documentation today
Research generates a lot of data, but turning it into useful summaries is time-consuming:
Experiment logs are scattered across notebooks, Jupyter, and lab systems
Results live in spreadsheets that only the researcher understands
Summarizing for PIs or stakeholders takes hours of writing
Knowledge leaves when researchers leave
How this flow looks in Triform
In this setup, your existing research tools stay the source of truth — Jupyter notebooks, lab systems, shared drives. On schedule, Triform gathers experiment data, groups by project, extracts key findings with AI, and publishes structured summaries for stakeholders.
Start from a single prompt
Describe your full workflow in one go and let Triform design the flow with you.
Example prompt for this automation
Where this automation fits
Industries
Research documentation on autopilot
Summaries generate automatically from your existing research workflow. No extra documentation burden on researchers. This means:
- Knowledge captured without extra work
- Stakeholders stay informed automatically
- Institutional memory preserved even as team changes
From scattered logs to structured summaries
Connect your research data sources
Define project groupings and tagging conventions
Configure summary format and frequency
Set up publishing destinations