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Sweephy

Turn raw data into business value without coding

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About

Sweephy is a platform that provides no-code data cleaning, data preparation, and machine learning (ML) services for various business cases. It offers specialized development for each business case and allows on-premise setup for data privacy.

Sweephy is listed on HubSpot and provides a 50% discount for new users. The platform’s ML modules include general visualization, text classification, lookalike checks, data profiling, and question to Excel.

There are also upcoming modules, and users can request new models. Sweephy integrates with various data sources, including MySQL, PostgreSQL, Oracle, Microsoft SQL, Zendesk, and HubSpot.

Users can also receive specialized data management support from Sweephy’s team at a monthly starting price of $500. Additionally, Sweephy can assist businesses in creating custom ML models to extract maximum value from their data.

The platform is suitable for those who want to save time and reduce errors while working with data. It is easy to use, with an intuitive interface that lets users create and deploy machine learning models without coding.

Sweephy has received positive reviews from over 100 clients from 15 different countries, describing it as a powerful tool for data cleansing, data management, and ML services.

Sweephy interface showing homepage

Key Features

No-code data cleaning
No-code ML deployment
Specialized development for business
On-premise setup for privacy
Listed on HubSpot
Provides new user discount
ML for text classification
Lookalike checks feature
Data profiling module
Question to Excel feature
User-requested models development
Integrates with multiple databases
MySQL
PostgreSQL
Oracle support
Microsoft SQL
Zendesk integration
Supports HubSpot integration
Offers specialized data support
Custom ML models creation
Positive user reviews
User-friendly intuitive interface
Aids in reducing errors
Free modules available
Discount via HubSpot

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Information

Pricing

Pricing Freemium
Pricing Value $20/month
Pricing Period Monthly
Favorites 0
Release Date May 11, 2022

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