Guides, demos and customer stories for product development teams

Batch manufacturing software can mean recipe management, an electronic batch record, an MES, a historian, a LIMS or a QMS. Most plants run several, and the gaps between them are where slow investigations come from...

Most quality teams know the experience of opening the historian after a failed batch and finding plenty of data but very little explanation. Here is why that gap exists and how to test whether a historian closes it...

A spreadsheet-and-notebook setup that is "good enough" usually costs scientists hours every week in re-typing and report assembly. Here is where the time goes and how to count it...

An SDS goes out of date when the classification behind it changes, even if the formula doesn't. With new EU CLP hazard classes landing for substances on 1 November 2026, here's how to find the SDSs a reclassification touches...

Vitrimer cabin panels and a 110 m debondable wind blade arrived in the same week. Here's the data R&D teams now need to show a thermoset can be reprocessed or recovered, and still pass its specs...

Givaudan, dsm-firmenich and IFF have launched mood and skin-brain products. Proving those benefits takes more than a questionnaire. Here is how efficacy data changes when the claim is emotional.

Whey protein concentrate now costs more than twice what it did a year ago. Brands are blending in MPC, soy and pea, but no single protein does everything whey does. Here's how to design the blend instead of guessing it...

AI-guided experiment design can cut the number of runs a project needs. The DMTA loop only gets shorter when results reach the next design decision faster, and that depends on structured data and scientists who trust the model...

Unexposed EM plates recorded as sampled. Failing samples discarded before analysis. Two recent FDA warning letters show how QC records can drift from what happened, and what teams should check in their own workflows...