Data Quality Solutions

We classify 35,000 procurement lines a month. Automatically.

Pearstop cleans and classifies procurement and asset data for hard services companies, so you can negotiate better contracts, plan maintenance smarter, and stop doing it manually.
Category management that works.

Book a 7-minute discovery See how it works

Masterclass Data Management

Learn the exact framework technical businesses use to clean, classify and activate their data and start recovering margin within 90 days.

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Trusted by leading organisations

Procurement

Maximize Spend Control

Automatically classify every procurement line, at scale. 35,000 lines a month, no manual work. Turn incoherent ledger lines into a single source of truth so your procurement team can see exactly where money is going, activate competition across suppliers, and negotiate better contracts. See how UNSPSC classification works →

"We used to have two full-time staff working on category assignment. Now the system does this for us — which has unlocked margin estimations further down the line too. It's more reliable at a fraction of the cost."

Infrastructure Contractor Head of Procurement

Asset Management

Your Asset List Should Work For You, Not Against You

If your asset list needs human interpretation, it's not usable. We clean spelling errors, fix field mismatches, and structure your asset data so systems — and people — can actually work with it. Ready for maintenance planning, lifecycle analysis, and smarter bidding.
See how asset management works →

"Our asset lists worked for mechanics on-site, but didn't allow us to plan smart maintenance or manage bid risk in a data-driven way."

Facilities Management Asset Manager

Operations

Scale With Confidence, Not Headcount

End the Excel heroics. Reduce manual data clean-up by 70–90%, freeing up your best buyers, engineers, analysts, and project managers for work that actually moves the needle.

"It would have taken five engineers and a full year to clean this up. So we decided to look for a better solution."

Technical Services Head of Operations

How It Works

From messy data to a foundation you can act on — in three stages.

Stage 1

Data Stability Baseline

We start with the data you already have. We assess its structure, identify gaps, and deliver one cleaned dataset that's yours to keep — plus a clear report on what needs to happen next. No commitment beyond this step.

Stage 2

Automated Quality Control

The system automatically cleans up to 95% of errors and inconsistencies. Items that fall outside confident thresholds get flagged for your team to review — so you stay in control without doing the grunt work. Every human decision feeds directly back into the system, improving accuracy over time.

Stage 3

Ongoing Data Integrity

The system learns from your data and your team's input over time. The more it runs, the less manual review is needed. Your data stays clean, structured, and ready to use — without a dedicated team to maintain it.

Start with a Data Quality Baseline →

Schedule a Personal Demo

In 30 minutes we'll show you where your data is costing you margin and exactly what a fix looks like. No slides. Just your industry, your numbers, your data.