Real work. Real margins.
How technical businesses in FM, construction, manufacturing, and infrastructure use Pearstop to clean their data and protect their margins.
9,175 supplier spellings brought back to 1,493 for SPIE Building Solutions
Every asset matched against SPIE's own approved supplier list, scored for confidence, and ranked so the team knew exactly where to review first.
Client cases
Named work, real dataMargin visible before the purchase is committed, for FARO
Invoice extraction accuracy from 70% to 99% for a cleaning services company
Site visit reports turned into clean proposal documents for Lemtech
Patterns we see
A 45% price spread on one aluminium windowsill, bought on ten projects
Ten descriptions, one item. Invisible until classified.
See the pattern →30 toilet paper suppliers in twelve months, and nobody chose them
Same roll, five prices. A 68% spread on one product.
See the pattern →The real manufacturer part number behind every reseller code
Checked matches replace slow offshore research, so you can buy direct.
See the pattern →In their words
“The confidence scoring meant our team knew where to spend their review time first, instead of starting from scratch on 200,000 rows.”
Bart van PeijHead of Master Data Management, SPIE Building Solutions“Our site visit reports come in every format imaginable - handwritten notes, spelling mistakes, scribbles. Pearstop built a system that automatically pulls them into a clean proposal document. It saves our team hours on every job.”
Vince OutCommercial Manager, Lemtech“We had thousands of product lines that needed to be categorised before we could even begin to understand our costs. Pearstop classified them in under a week. That would have taken our team six months and still would not have been this accurate.”
David TorrCEO, FAROSend us 200 lines. We send them back labelled.
No clean-up first, no cost, nothing to install. The fastest way to see what your own data looks like classified.


