R&D software is a memory problem before it's a productivity problem
Ask most technical teams what their lab notebook system costs them and they'll talk about time. The real cost is repetition: the trial that was already run in 2022, the raw material that was already rejected, the stability failure someone else already diagnosed. None of it is written down anywhere searchable, so it gets rerun.
That's the criterion that separates real R&D software from an electronic notebook. Can the next formulator find what the last one learned, and is the answer attached to the formula rather than a folder named after a project code?
