Enterprise Data Cleansing Software with Entity Resolution
A Controlled Workflow for Data Quality Operations. One Platform, Full Pipeline.
WinPure Clean & Match Enterprise (CAM) helps IT and business teams profile, standardize, match, deduplicate, and prepare records across CRM, ERP, and operational systems inside their own environment. Built for teams that need a secure data cleansing software for migration, governance, and data quality management tasks.
✓30 Days Free Trial with Entity Resolution
✓Test on Your Sample Data
How WinPure CAM Works
From Data Assessment to Golden Record Output in Seven Simple Steps.
With WinPure Clean & Match teams can create a controlled process for data preparation & transformation, presenting records in a form the business can use with confidence.
Swipe →
01 Connect
Data input sources
02 Profile
Data quality insights
03 Clean
Clean & transform data
04 Fuzzy Match
Identify duplicates with fuzzy match
05 Match AI™
Create golden records for final export
06 Consolidate & Export
Create golden records for final export
07 Automate
Schedule operations in advance
Step 01 - Import & Connect Data Source
CAM Supports Multiple Data Source Connectivity
Select your source, whether a database, flat file, or CRM and connect directly to retrieve a copy of your data into the CAM dashboard. WinPure supports SQL Server, Oracle, MySQL, PostgreSQL, CSV, Excel, XML, Salesforce, Dynamics, and any ODBC or JDBC-compliant source. No export step required.
Source data is read into a working session. Nothing is written back to your system until you explicitly approve the output. Your original data remains untouched throughout the entire process, and all changes made to the data is recoverable. In most cases, WinPure will also build custom connectors to help you work with your data faster.
Step 02 - Run Profiling
See Messy Data Issues Before Transforming
Once data is connected, select the files you want to work with. The data cleansing process starts with a statistical analysis across every field, in every column of your dataset. It provides in-depth insights, highlighting completeness scores, consistency flags, format issues and the severity of each challenge. Users can also refresh statistics after each clean step to confirm issues have been resolved before moving to the next stage.
Step 03 - Clean with AI
Review, Adjust, and Apply Transformation Rules
Review the data cleansing rules generated from the profiling step. Adjust any rule you disagree with and build a custom data cleansing tool matrix. Add custom REGEX rules where your data requires specific handling. Benefit from Clean AI™, an intelligent pre-configured matrix that analyses the profiled data and recommends a cleaning matrix in seconds. Users can clean and preview every transformation in a live window before anything is applied.
Step 04 - Exact or Fuzzy Match
Configure Your Matching Strategy
Clean & Match supports exact, fuzzy match, and phonetic matching, all configurable at the field level with confidence thresholds set by the user. For example, you might require an exact match on a Tax_ID field while allowing a 15% fuzzy variance on a Company_Name field to account for "Inc" vs "Incorporated." You retain control over the degree of similarity required for a match.
Step 05 - Resolve complex entities & link records
Entity Resolution at Scale with Purpose-built AI
WinPure’s Match AI™ moves beyond basic deterministic matching by utilizing a machine learning engine purpose-built for entity resolution. Built as a no-code alternative to traditional entity resolution systems, Match AI™ recognises connections between people, companies, locations and holistic information about the entity across the whole dataset. This enables teams to analyse record variations to identity relationships and link records across system silos. Simply select relevant labels to match and analyse without requiring complex model training or engineering overhead.
Step 06 - Build Master Records
Review Duplicates & Select Master Records
Once records are matched and grouped, users simply need to review records with the highest match scores, and identify a master record for each match group. CAM now has an intelligent SmartMaster AI™ that scores each group on completeness and consistency across sources, and selects the golden record automatically against the criteria defined. You can inspect and override any selection before the final output is exported.
Step 07 - Automate Regular Sessions
Configure an Automated Workflow for Clean & Match
Save your clean and match workflow as a scheduled job. It runs unattended on your defined cycle: nightly, weekly, or on trigger. No manual intervention required between runs. Simply use the calendar to schedule a cleaning job in advance and let the software run the matrix when you're not around. For each operation, get audit logs with in-depth detail on fields changed, at what time, and based on what reasoning.
Why Teams Choose WinPure
Matching Depth, Explainable AI, and a Workflow that Aligns with Your Infrastructure
20 Years of Data Quality Expertise
Two decades of data quality expertise across cleansing, matching, and entity resolution, combined with purpose-built AI that works with your team's judgement and a deployment model that fits into how you already operate. Clean & Match Enterprise is built for the way data teams actually work.
AI That Accelerates Your Team's Judgement
Clean AI™, Match AI™, and SmartMaster AI™ are purpose-built functions, each one handling a specific data quality task with an auditable behaviour. They enable teams to reduce manual effort with profiling inconsistencies, confirming matches and selecting the strongest record. Every component is configurable which means you remain in control of input and outcomes. For risk-conscious buyers who need explainable outcomes in compliance-sensitive pipelines, that is exactly how AI should work.
Fits Into Your Existing Workflow
WinPure's products are designed to connect directly to your existing data sources flat files, databases and CRMs. There is no complicated set up or new stack for teams to learn. Clean & Match is the industry's most recommended user-friendly data cleansing and data matching software. Unlike traditional platforms, WinPure does not require additional cloud, server or infrastructure resources to keep it running.
WinPure v11 Guide
Clean & Match Enterprise v11. Now with Purpose-Built AI.
Version 11 brings three embedded AI modules to the platform: Clean AI™, Match AI™, and SmartMaster AI™, enabling faster rule generation, more accurate entity resolution, and automated golden record selection at scale.
Get the v11 Product Guide Online PDF. No Registration or Download Required.
4,000+ organisations rely on WinPure to resolve data quality challenges with: Financial records, Patient identities, Contact data, Vendor data, Product data and more.
Customer Reviews
Rated by data quality teams
Independent review platforms and customer feedback from teams using WinPure in production.
The Case for On-Premise Data Quality
On-Premise Data Cleansing Software Is the Safest Choice for Handling Sensitive Data.
For organisations handling sensitive contact data, WinPure’s Clean & Match provides a level of control that cloud based processing often cannot support. The data cleansing tool runs entirely within the customer’s own infrastructure, allowing data teams to clean & prepare data without the restrains or security implications of online tools.
Once input data is connected into Clean & Match Enterprise, users can:
• Safely process datasets
WinPure works on a copied version of the dataset, ensuring the original source data remains unchanged throughout the process. A simple refresh updates the table with new data.
• Perform actions without worrying about data loss
Every cleaning, data matching rule, and transformation action can be reviewed, adjusted, or reversed before final export. Nothing is lost and there are no risks with accidental processes.
• Configure AI matching logic & clean matrix
Users retain full control over MatchAI™ configurations and CleanMatrix setups, including thresholds, rules, and matching logic. These can be reusable over multiple projects and datasets.
The outcome is clean, consolidated records that serves critical business purposes without causing a strain over team resources.
Where Can Teams Use CAM
The Data Problems Teams Can Solve with Clean&Match Enterprise
CAM addresses the recurring data problems that happen before or during data migrations, mergers & acquisitions, and downstream projects like analytics, and AI initiatives. Each use case below is a problem WinPure has helped customers solve efficiently without requiring additional resources.
CRM Deduplication for Migration
CAM lets teams extract, clean, and dedupe legacy CRM data with speed, accuracy, and an efficiency that cannot be achieved using traditional methods. A process that takes months can now be done in just a few weeks.
Mergers & Acquisitions
During mergers and acquisitions, data from multiple ERPs and CRMs has to be combined fast, but record structures, codes, and naming conventions make it impossible to line up. CAM allows for easy comparisons, structure mapping, and the consolidation of datasets within days instead of months.
Data Migration Preparation
CAM is the ideal platform for pre-migration data prep. It allows for the easy profiling and cleaning of source data before it enters a target system so migrations inherit verified master records rather than legacy data with errors.
Entity Resolution for Fraud Detection
Fraud and integrity teams deal with contact data that appears under different identities across systems. CAM analyses entities across the entire dataset and scores records by how likely they are to belong to the same entity.
Data Quality for AI and Analytics
Analytics and AI projects stall when core tables contain inconsistent formats, conflicting values, and silent duplicates. CAM exposes conflicting fields, and duplicate patterns in a structured report, then lets users clean & manage data in a repeatable way.
Vendor Master Data Matching
Procurement and finance teams often maintain separate vendor lists in ERP, AP, and contract systems, with the same supplier held under different names, IDs, and addresses. CAM enables the easy standardisation & merging/matching of these records to get a single view of vendor data.
Frequently Asked Questions
Questions We Hear from Data Teams Before They Buy
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.