Solutions

Turn messy data into decisions

Pearstop delivers five data integrity solutions for technical industries. Each one targets a specific data problem and every one is built to protect your margins.

Five Solutions. One Goal.

Pearstop delivers five data quality solutions for technical industries. Each one targets a specific operational data problem, built for hard services, construction, and manufacturing.

01

Invoice & Document Extraction

Turn unread PDF invoices, scans, and delivery notes into structured data automatically. The precondition for classification, spend analysis, and everything after it.

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03

Procurement Data Quality

Build a real spend baseline from messy invoice and supplier data, broken out by service line and entity, so a negotiation, tender, or framework review starts from a number instead of a guess.

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04

Data Quality

An ERP migration, a Microsoft Fabric rollout, and an AI initiative all assume the data underneath them is already clean and structured. When it is not, each one just carries the mess into a new system. Pearstop fixes the data first.

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05

Asset Data Management

Turn spend and maintenance data you receive but do not generate into an independent, classified record you can compare across providers, sites, and years.

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One engine. Every data problem.

Whether it is procurement spend, asset registers, or ledger data, Pearstop standardises, categorises, and enriches your data automatically. The output plugs straight into your existing tools.

  • Works with your existing BI tools, ERP, and dashboards
  • No lengthy implementation - results in days, not months
  • Scales from one dataset to your entire data estate
  • Built specifically for technical industries and FM

Invoices, asset registers, ledger exports, supplier lists - from any format, any system. SAP, Oracle, ERP exports, spreadsheets. If you can export it, we can work with it.

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.

What data quality problems does Pearstop solve?

Hard services, construction, infrastructure, and manufacturing companies share a common challenge: operational data that is decentralised, inconsistent, and difficult to use across teams and systems. Poor procurement data quality, unreliable asset registers, and unclassified spend are the most common blockers to category management, predictive maintenance, and digital transformation. Pearstop specialises in cleaning and structuring this operational data so technical businesses can act on it.

Not sure which solution you need?

Book a 7-minute discovery call. We will identify exactly which data problem is costing you the most - and show you how to fix it.

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