R&D data reuse: your team already ran that experiment. Can anyone find it?
Before planning the next experiment, your team needs to know what has already been tried, what happened and under which conditions. When those answers are spread across spreadsheets, shared folders and notebooks, scientists open old files and ask colleagues before the real work can start. When an earlier result can't be found or trusted, the experiment gets run again. And when a scientist moves on, the context behind their files goes with them.
A better folder structure doesn't fix this. A result is findable when it stays connected to the formulation, the materials and the process conditions that produced it. Uncountable for R&D keeps ingredients and amounts, process parameters and measured results together on each experiment, so scientists can filter by an ingredient amount or a measured result, compare matching experiments side by side, and search notebooks, files and lab requests from one page, including the text inside uploaded documents.
This one-pager is for R&D leaders, scientists and formulators who want past work ready to reuse, and a practical route for bringing legacy data in.
Inside this one-pager:
- What gets lost when past work is hard to find
- What “findable” actually takes
- Search and filters across experiments, inputs, outputs, notebooks, files and lab requests
- Bodie AI Agent for plain-language questions about past work
- ANYInstrument results and an audit log on every experiment
- How legacy data comes in, from Excel and CSV files to SFTP, S3 and paper notebooks
Check what your team already made and measured before you plan the next experiment. For more depth, read the guide Shortening the design-make-test-analyze loop.
FAQs
Why past R&D work becomes hard to find, what it takes for a result to be findable, how Uncountable keeps each experiment connected to its formulation, materials and results, and how legacy data comes into the platform.
Filter by an ingredient amount or a measured result, then compare the matching experiments side by side, with ingredient amounts and measured properties next to each result.
Experiments, inputs, outputs, notebooks, files and lab requests, from one page, including the text inside uploaded documents. You can also ask Bodie AI Agent in plain language; it looks up records, queries experiment tables and builds plots.
Yes. Past experiments with ingredients, amounts, process parameters and results can be imported from Excel and CSV files, files from SFTP servers and S3 storage can be imported automatically into results, formulas from an acquired business come in through the spreadsheet import, and paper notebook pages can be attached as photos or scans. The approach depends on the source and how the data is organized.
ANYInstrument turns instrument exports into structured results on the experiment and can attach the original file. The audit log shows who changed an experiment and when, with the values before and after.
