Turn Your Asset Register Into a Strategic Asset
Fragmented asset data leads to reactive maintenance, missed risks, and shrinking margins. Pearstop transforms your asset register into a clean, trusted dataset that drives smarter decisions.
Your asset data is fragmented and it's costing you
When asset data is scattered, inconsistent, and unreliable, maintenance becomes reactive, risks become invisible, and margins erode.
- Asset registers spread across spreadsheets, legacy systems, and paper records make analysis impossible
- Inconsistent naming conventions mean you can't compare performance across sites, assets, or manufacturers
- Reactive maintenance driven by poor data is far more expensive than planned maintenance based on clean insight
How It Works
From fragmented asset registers to trusted asset intelligence — in three steps.
Data Consolidation
Upload asset data from any source — spreadsheets, ERP systems, legacy databases, and site surveys — in any format.
Standardisation & Enrichment
Pearstop standardises naming conventions, fills data gaps, and builds comparative baselines across manufacturers and asset classes.
Trusted Asset Intelligence
Receive a clean, analysable asset register that enables predictive maintenance, risk management, and defensible advisory services.
Key Benefits
What becomes possible when your asset data is finally clean.
Predictive Maintenance
Clean asset data enables you to predict failures before they happen, shifting from reactive to proactive maintenance.
Comparable Baselines
Benchmark asset performance across sites, manufacturers, and contracts, insights previously impossible.
Risk Management
Identify high-risk assets and maintenance liabilities with confidence, before they become costly emergencies.
Advisory Value
Deliver data-backed recommendations to clients that are impossible to question and impossible to replicate without you.
Results That Speak for Themselves
Real outcomes from asset-intensive businesses that cleaned their data with Pearstop.
Average improvement in asset data accuracy, across 250,000+ installations for one client alone.
Average reduction in maintenance costs through better planning and predictive insight from clean data.
Improved service margins through data-backed advisory services that clients pay a premium for.
"Our asset data worked for the mechanics on-site. It didn't work for anyone trying to plan maintenance or run analysis on it. Pearstop fixed that."
Ready to Clean Your Asset Data?
Book a 7-minute discovery call and see how Pearstop transforms your asset register into a strategic advantage.
Book a 7-Minute DiscoveryFrequently Asked Questions
Straight answers about how Pearstop supports asset managers with AI-powered research and due diligence.
How can AI reduce the time spent on due diligence and financial research in asset management?
Due diligence in asset management is time-intensive by design, analysts must review financial statements, assess counterparty risk, validate ledger data, and cross-reference multiple sources before any investment decision. AI tools like Pearstop compress this process significantly by automating the extraction and analysis of structured financial data, flagging anomalies in ledger records, and surfacing relevant risk indicators in seconds rather than days. Because Pearstop processes data in-session without storing it, firms operating under strict data confidentiality requirements can run analysis on sensitive documents without compliance risk. The result is faster, more consistent research, with analysts spending time on judgement rather than data gathering.
What types of documents and data sources can Pearstop process?
Pearstop works with financial statements, ERP exports, ledger data, purchase records, and operational datasets in structured and semi-structured formats. Whether data arrives as spreadsheets, CSV exports, or document scans, we extract, clean, and structure it for analysis. For asset management specifically, this includes balance sheets, P&L records, asset registers, and supplier spend data.
How does Pearstop handle data confidentiality?
Data is processed in-session and not retained after the engagement. We do not store client data on third-party systems and work within your organisation's data governance requirements. For firms with strict confidentiality obligations, this means analysis can run on sensitive documents without creating a compliance exposure.
Does this replace analysts or support them?
Pearstop handles the data-gathering and structuring work so analysts can focus on interpretation and decision-making. It surfaces the right information faster, it doesn't make the investment judgement. Teams that use Pearstop typically find they can cover more ground in the same time, not that headcount reduces.
How quickly can we get started?
A 7-minute discovery call is the first step. We identify what data you're working with, what decisions it needs to support, and what the fastest path to value looks like. Most engagements are scoped and started within a week of that call.