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Pearstop cleans, classifies and enriches procurement and asset data for companies in facilities management, hard services, construction, infrastructure and manufacturing. If you can't trust your supplier and spend data, you can't run real category strategies, find genuine savings, or make confident commercial decisions. Most procurement teams in asset-heavy industries are sitting on exactly that problem: fragmented systems, inconsistent naming, supplier records nobody fully trusts, asset registers built up across years of contracts and acquisitions. We fix it. Two things we do:Procurement spend classification and supplier data enrichment. UNSPSC coding, supplier master data cleansing, and enrichment from official company registries. The output is a clean spend baseline you can use to run category management, supplier consolidation, and savings programmes.Asset data cleaning and standardisation. We fix inconsistent naming, duplicates and gaps across asset registers, CAFM, CMMS and ERP systems. The output is a single trustworthy view of what you service and how it performs.Pearstop runs on our own machine learning algorithms, built specifically for procurement and asset data, combined with leading large language models cherry-picked for what works best in each case. Client data is never shared with or used to train these models. Some of what we've delivered: $ 100,000+ assets standardised across multiple phases for SPIE Building Solutions $ Procurement classification for infrastructure players running €1bn+ in spend $ Reference clients across FM, infrastructure, manufacturing and construction $ Local language support Founded by a team of engineers and operators who care about systems that work for the people using them. Headquartered in Ireland, working remotely with clients across Europe and the Africas. Get in touch: www.pearstop.com

Pearstop Questions

Stephanie Wiechers is the CEO and Founder of Pearstop.

4 people are employed at Pearstop.

Pearstop is based in London, England.

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