On Premise Data Quality Software

Clean, Match, and Resolve Your Data. Inside Your Infrastructure.  

WinPure Clean & Match processes data through a structured pipeline, from profiling to cleaning and creating master records within your environment. Supported by localised AI built to reduce manual data cleaning while improving match accuracy. The result: golden records you can trust.

Audit trail for compliance
Configurable match rules
Automation ready
Introducing WinPure v11, Built for Secure Data Quality Operations
Trusted by organisations including
HP Logo 2017 Coca Cola logo Volkswagen logo 2019.svg 585e9ddbcb11b227491c34fc University of Louisiana at Lafayette 1024x682 Local Government Luton Vodafone Logo.svg 1200px Sandia National Laboratories logo.svg
4,000+
Organisations worldwide
50+
Countries deployed
20+
Years of domain expertise
<2 mo
Typical time to measurable ROI
96%
Match accuracy rate
The Clean & Match Platform

A Structured Data Quality Pipeline for Teams

WinPure's data quality platform is built around interconnected modules, each handling a defined state of the data quality process. Together, these modules form a pipeline that takes messy data and produces records your systems can rely on. Run one stage or the full pipeline depending on what your data needs. You remain in full control of the process.

See How the Platform Works →
Swipe →
Profile & Insights
Get in-depth quality scores
Clean & Transform
Standardise and normalise messy data
Match & Dedupe
Cross-match files at scale
Entity Resolution
Identify relationships & resovle entities
Data Verification
Verify Global Location Data
Module 01

Data Profiling & Quality Review

Understand the condition of your data before you start operational tasks like matching, cleansing, or migration work. This module gives teams a clear view of data quality issues across the dataset so teams can prioritise effort and make better operational decisions earlier in the process.

SS Data Profiling CC
See Data Profiling →
On-premise AI Data Quality

Purpose Built AI for Secure Data Quality Operations.

SS P1
Clean AI™

Reduce Manual Data Cleanup Effort by 80%

Clean AI™ recommends the right data type and cleaning configuration for each field in your dataset, while still letting you maintain control. You can modify configurations so it matches your specific data requirements. Once configured, standardise, clean and transform your entire dataset in just one click. This gives you intelligent automation without losing control and reducing cleanup time by 80%. Every transformation is auditable & reversible.

Learn about CleanAI →
Match AI™

Entity Resolution That Handles Real-World Inconsistency.

Match AI™ is built for matching at scale where traditional fuzzy and deterministic logic breaks down. At millions of records, the AI reads each record as a complete unit rather than as an isolated field, surfacing relationships across datasets that deterministic and fuzzy matching miss, including transposed names, regional address formats, and culturally diverse identifiers.

Learn about MatchAI →
SS P2
SS P3
SmartMaster AI™

Build Master Records with Confidence

SmartMaster AI™ automatically identifies the best record within each matched group and designates it as the golden record based on a scoring decision principle. It evaluates completeness, recency, and data quality across the group and selects the highest-scoring record. Users who prefer control can define custom scoring criteria. Either way, it helps reduce the manual review of thousands of duplicate groups.

Learn about SmartMaster AI™ →
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How Much is Bad Data Costing You? Find Out Instantly.

Answer a few simple questions about your data volume, quality issues, and current approach. Get a custom report showing what bad data is costing you and how much you could save with WinPure.

Calculate Your Savings Personalised report in 2 minutes
How WinPure Compares

Why Data Teams Choose WinPure Over Cloud Tools and Manual Processes

Swipe →
Capability
WinPure
Clean and Match Enterprise
Cloud DQ Tools In-House Solution
End-to-end data quality in one platform
Profile, clean, match, resolve, verify in one workflow
Typically single-function tools with limited end-to-end capabilities
Difficult to implement end-to-end DQ on a large scale
Ease of use
No-code interface, operational in one setup.
Steep learning curve on complex platforms
Requires SQL, scripting, or developer resource
Purpose-built on-premise AI
Secure, non-generative AI for clean & match
Use third-party LLMs or ML models hosted in their cloud infrastructure
Limitations in building secure, in-house AI algorithms. Reliance on LLMs
Entity resolution
Full cross-system entity discovery with DQM
Limited to simple deduplication only
Requires significant amount of investment in R&D
Performance
1M records in 3-5 minutes
Estimated 20 minutes for 1M records
36+ Hours for 1M records
Accuracy
90-98% match accuracy
85 - 95% depending on API model
Varies, depending on script capability
Scalability
Handles millions of records without performance degradation
Scales well but cost increases exponentially with volume
Manual infrastructure required to scale
Cost at Scale
Flat licensing (no per-record fees)
Metered pricing. API calls balloon with volume
Hidden labor and infrastructure costs
✓ Supported   — Partial or conditional   ✗ Not supported

“I’m not sure if I didn’t have a tool like WinPure that I could even do statistical survey jobs. Comparing files pairwise to find duplicates across 10,000 outlets, across five different sources, none of them with consistent identifiers, that is not something a survey tool can do. That is not something a spreadsheet tool can do. I would not be willing to do that by hand. WinPure has made something possible that most people doing survey work would not even attempt.”

CamBright CEO, Larry Campbell

Industries

Built for Sectors Where Data Security is a Non-Negotiable

modern stock exchange
Government and Public Sector
Contact record deduplication, data reconciliation, entity resolution. Government Commercial Agency supplier.
See how →
group healthcare
Healthcare
Patient record matching at 95-97% accuracy across clinical systems. No data leaves your network.
See how →
Financial Services
Financial Services
AML entity network discovery, KYC identity resolution, full audit traceability for regulatory reporting.
See how →
clothes online touch screen
Retail and E-Commerce
Single customer view, loyalty data consolidation, 1.8M+ unified customer profiles in documented deployments.
See how →
factory managers
Manufacturing and Procurement
Supplier normalisation, product catalogue deduplication, ERP pre-migration cleansing.
See how →
Documented Results

What Customers Achieve

Outcomes from production deployments - real data, real environments, measurable results.

UK Local Government
Luton Borough Council - Housing Migration
30s
21,000 properties matched against 100,000-record source

Legacy housing data cleaned and deduplicated. Migration completed on schedule.

Read case study →
Healthcare
Multi-System Patient Record Consolidation
96%
Match accuracy across 15 source systems - <2% false positives

Vaccination records consolidated without cloud transmission. Compliant reporting delivered.

Read case study →
Finance
Lead Match & Revenue Recovery
$1M+
New revenue generated from WinPure powered lead matching

Manual VLOOKUP comparisons replaced with automated fuzzy match logic. Lead generation efficiency improved by over 50%.

Read case study →
Trade Compliance
Global Investment Firm - Entity Linkage
Multi-source
Cross-border customs data matched against global blacklists.

Manual verification replaced with automated multi-list matching using CleanMatrix and WinPure's matching engine.

Read case study →

"One of the great qualities about using WinPure has been its speed and simplicity. We can match a large dataset of 21,000 properties against a 100,000-record source in under 30 seconds. A software tool we simply cannot recommend enough."

Alan Kirk - Information Manager, Luton Borough Council

Customer Reviews

Rated by data quality teams

Independent review platforms and customer feedback from teams using WinPure in production.

Done for You

Your Data Quality Programme, Fully Managed by Our Team.

Some data challenges are simply too large and complex to handle alongside everything else you have running. This is where you can benefit from WinPure's fully managed service where we work with your team to profile, clean, transform and consolidate your data based on the outcomes you define. You can work with us in a one-off project or as an on-going programme, all within your infrastructure.

Learn more →
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Frequently Asked Questions

Questions We Hear from Data Teams Before They Buy

Get Started

Three ways to evaluate WinPure.

Option 01

Free Trial

Download and install WinPure Clean and Match Enterprise in your own environment. No cloud account. No data sent externally.

14-day full access
All modules included
Runs inside your infrastructure
Download free trial →
Option 02

Book a Demo

A guided 45-minute walkthrough of the platform with one of our data quality specialists. Bring your specific data challenge.

Live platform demonstration
Q&A with a technical specialist
Scoped to your use case
Book a demo →
Option 03

Talk to Our Team

System migration, compliance deadline, or a data quality programme? Our team will help you scope requirements and understand what is achievable.

Requirements scoping
Deployment planning
Licensing and pricing guidance
Contact our team →
Contact Us

Start a conversation about your data.

Migration deadline, deduplication project, or compliance requirement - we will help you understand what WinPure can deliver and how quickly.

UK and Europe
+44 (0) 118 929 8100
Arlington Business Park, Reading, RG7 4SA
United States
+1 (608) 420-4952
5900 Balcones Drive, Austin, TX 78731

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