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Pearstop delivers six data integrity solutions for technical industries. Each one targets a specific data problem and every one is built to protect your margins.
Pearstop delivers six data quality solutions for technical industries. Each one targets a specific operational data problem, built for hard services, construction, and manufacturing.
Automatically clean and standardise your data at scale. Eliminate inconsistencies, fill gaps, and build a single source of truth your team can trust.
Explore Solution →Create a credible spend baseline from messy invoice and supplier databases. Automated categorisation eliminates incomplete data with 95% less manual effort.
Explore Solution →Auto-assign up to 95% of spend data using the United Nations Standard Products and Services Code. Industry-standard classification with zero manual tagging.
Explore Solution →Transform fragmented asset registers into trusted, analysable datasets. Reduce ad-hoc maintenance and enable data-driven risk management.
Explore Solution →Prepare your operational data for Microsoft Fabric migration. Clean, structured data that lands cleanly from day one. No rework after migration.
Explore Solution →Build the data foundation your AI initiatives need. Organisations with governed, structured data are twice as likely to achieve measurable AI ROI within 12 months.
Explore Solution →Whether it's procurement spend, asset registers, or ledger data — Pearstop's engine standardises, categorises, and enriches your data automatically. The output plugs straight into your existing tools.
Invoices, asset registers, ledger exports, supplier lists — in any format, from any system.
Automated cleaning, standardisation, and categorisation. Up to 95% accuracy, no manual effort.
Trusted data that plugs into your BI tools, informs your bids, and protects your margins.
Book a 7-minute discovery call. We'll identify exactly which data problem is costing you the most — and show you how to fix it.