As seen in Speciality Chemicals Magazine. In a new feature, Uncountable's VP of Account Management, Josh Miller, examines a cost most R&D leaders recognize but rarely measure: solving the same problem twice.
When experiment records live in disconnected spreadsheets, local ELNs, and unstructured notes, the data exists but can't be found across teams or sites — so every lab starts from zero. The cost compounds across scientist time, materials, instrument capacity, and timelines. One organization Miller describes defaulted to six weeks in the lab for every new request, until full visibility revealed 60% could have been answered with a search. The fix is a data architecture that makes experiments searchable by default, turning prior work — including failures — into a reusable asset. Repsol, he notes, consolidated 10,000+ data points from two decades into one searchable platform and cut experimental workload 30–40% per project.
Josh asks: if your most experienced chemist left tomorrow, would their discoveries still be accessible?
Read the full feature in Speciality Chemicals Magazine: The Hidden cost of running the same experiment twice
Curious what searchable-by-default R&D data looks like in your lab? Book a demo.
