Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DataMatch Enterprise (DME) is Data Ladder's entity resolution and data matching platform. It identifies records that refer to the same person, business, or entity across disconnected systems, then links and consolidates them into a single accurate record. Core functions include data profiling, standardization, matching, deduplication, and merging, supporting use cases such as Customer 360, KYC, fraud detection, and master data management.
The platform is available through a no-code visual interface for business users and a REST API for developers, allowing the same matching engine to be embedded in applications, data pipelines, or AI agent workflows. Match results are rule-based and traceable, so users can see the specific logic behind each linked record rather than a single opaque score.
Recent additions include entity graphs for visualizing connected records, live search for real-time matching, and Docker as a deployment option in addition to cloud and on-premises environments.
Independent benchmarking across 15 studies shows DME identifying 5 to 12% more matches than comparable tools, with fewer false positives and accuracy up to 99%. In a large-scale test, it processed 10 million records in 41 minutes.
Description
Qore – CRM Data Intelligence employs AI-driven agents to keep account information up to date within an existing CRM system in real time, eliminating the need for data migration or external subscription services. It efficiently gathers data from various source systems, standardizes key elements such as company names, addresses, and industry codes, detects duplicate entries, and enriches records with real-time signals. Merges are reviewed by humans, resulting in a consolidated record, with all modifications documented for audit purposes. Teams have the flexibility to execute the workflow continuously or conduct a single bulk operation, with options for account enrichment, deduplication, and corporate hierarchy enhancement available individually. The platform is compatible with major CRM systems like Salesforce, Microsoft Dynamics, Oracle CRM, HubSpot, among others. Additionally, its MCP server facilitates verified address and hierarchy lookups through integration with compatible clients such as Claude, Cursor, and Windsurf. This solution is tailored for RevOps, sales operations, marketing operations, and data governance teams within mid-sized and larger organizations, providing them with advanced tools to manage their data effectively. By streamlining CRM data management, it empowers teams to focus on strategic initiatives rather than manual data upkeep.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Claude
No
Cursor
No
HubSpot CRM
No
Model Context Protocol (MCP)
No
Salesforce
No
Integrations
Claude
Yes
Cursor
Yes
HubSpot CRM
Yes
Model Context Protocol (MCP)
Yes
Salesforce
Yes
Pricing Details
starts at $10000/user per year
Free Trial
Yes
Free Version
No
Pricing Details
$0.50
Pricing is node-based and scales with processing volume and cadence. Plans cover CRM data verification, with a separate tier adding corporate hierarchy enrichment.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Data Ladder
Founded
2006
Country
United States
Website
dataladder.com
Vendor Details
Company Name
QoreNext
Founded
2020
Country
Singapore
Website
www.qorenext.com/index
Product Features
Data Cleansing
Address/ZIP Code Cleaning
Yes
Charting
No
Data Consolidation / ETL
No
Data Mapping
Yes
Multi Data Format Support
Yes
Phone/Email Validation
Yes
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
Yes
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
No
Data Profililng
Yes
Master Data Management
No
Match & Merge
Yes
Metadata Management
No
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No