Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CleanSmart is an innovative platform that leverages AI technology to facilitate data cleaning for Marketing Ops, RevOps, and SalesOps teams, enabling them to obtain accurate and dependable data without the need for coding or juggling various tools.
With a single cleaning operation, users benefit from features like SmartMatch, which utilizes semantic AI to identify and merge duplicate entries, AutoFormat that ensures uniformity in phone numbers, emails, and addresses, SmartFill that anticipates and populates missing information, and LogicGuard, which identifies anomalies and impossible data entries.
Users can seamlessly connect with platforms such as HubSpot, Salesforce, Mailchimp, Klaviyo, or Shopify, or they can simply upload a CSV file. Each modification made in the system is meticulously recorded, complete with confidence scores and a comprehensive audit trail, empowering teams to maintain control over the data modifications.
The process eliminates the need for data engineers, avoids custom scripts, and removes the hassle of manual cleanup, resulting in a straightforward experience that delivers clean, analysis-ready data. Additionally, CleanSmart's user-friendly interface ensures that teams can focus on their core tasks rather than getting bogged down by data issues.
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.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$59/month/1 user
Free Trial
Yes
Free Version
No
Pricing Details
starts at $10000/user per year
Free Trial
Yes
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
CleanSmartLabs
Founded
2024
Country
United States
Website
www.cleansmartlabs.com
Vendor Details
Company Name
Data Ladder
Founded
2006
Country
United States
Website
dataladder.com
Product Features
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
No
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