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
Sliq is an innovative platform powered by artificial intelligence that swiftly cleans up disorganized raw datasets, making them ready for analysis within minutes by automatically identifying and resolving prevalent quality concerns such as format discrepancies, absent values, schema variations, and formatting mistakes. This efficiency allows analysts and engineers to minimize time spent on tedious maintenance tasks and focus more on deriving insights and building models. By utilizing context-sensitive intelligence, Sliq comprehends the semantic context of the uploaded datasets—whether they pertain to finance, e-commerce, or healthcare—and devises a customized cleaning strategy tailored specifically for each dataset instead of relying on generic solutions. Users have the flexibility to either upload files directly or connect programmatically with existing workflows, and Sliq is compatible with popular data formats like CSV, JSON, and Parquet, ensuring smooth integration into current data environments. Additionally, this platform enhances productivity by streamlining the data preparation process, allowing teams to drive more impactful decision-making through improved data quality.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Apache Parquet
No
Google Sheets
No
JSON
No
Microsoft Excel
No
Polaris
No
pandas
No
Integrations
Apache Parquet
Yes
Google Sheets
Yes
JSON
Yes
Microsoft Excel
Yes
Polaris
Yes
pandas
Yes
Pricing Details
$59/month/1 user
Free Trial
Yes
Free Version
No
Pricing Details
$30
Free Trial
Yes
Free Version
Yes
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CleanSmartLabs
Founded
2024
Country
United States
Website
www.cleansmartlabs.com
Vendor Details
Company Name
Sliq
Country
United States
Website
sliqdata.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
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