MatchX
MatchX is an AI-powered platform that automates data quality management and intelligent matching for both structured data and documents enabling faster, more accurate decisions across industries.
Cost / License
- Subscription
- Proprietary
Platforms
- Windows
- Software as a Service (SaaS)
Features
Properties
- Privacy focused
Features
- Import CSV Data
- No Coding Required
- No Tracking
- AI-Powered
- Data visualization
- Database Management Tool
Tags
- Data Analysis
- data-integration
- master data management
- big-data
MatchX News & Activities
Recent activities
- MatchX updated MatchX
- MatchX added MatchX
MatchX added MatchX as alternative to DQLabs, Inc., Talend and Informatica MDM
MatchX information
Developed by
VE3 Global Licensing
Proprietary and Commercial product.Pricing
Subscription that costs $0 per month.Alternatives
3 alternatives listedSupported Languages
- English
What is MatchX?
Businesses today struggle with incomplete, inconsistent, or unlinked data across systems — which slows operations, analytics, and compliance. MatchX solves this with a powerful platform that automates data ingestion, profiling, cleaning, and matching using AI. With support for structured datasets and unstructured documents, real-time workflows, and rule-based validation, MatchX empowers data stewards, analysts, and business teams to make faster, more confident decisions. Whether you’re resolving duplicates, linking disparate sources, or maintaining high data hygiene, MatchX delivers unmatched precision and efficiency.
Problem It Solves
Inaccurate, inconsistent, and duplicate data leading to operational inefficiencies, incorrect reporting, and poor decision-making.
Manual, rule-based data cleaning and matching that is time-consuming, error-prone, and hard to scale.
Disconnected documents and datasets, especially in regulated industries where data reconciliation is critical.
Limited visibility into data quality trends, match accuracy, and versioned changes.
Difficulty in maintaining traceability and approvals during sensitive data operations across roles and departments.
