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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Cleanlab Studio offers a comprehensive solution for managing data quality and executing data-centric AI processes within a unified framework designed for both analytics and machine learning endeavors. Its automated pipeline simplifies the machine learning workflow by handling essential tasks such as data preprocessing, fine-tuning foundation models, optimizing hyperparameters, and selecting the best models for your needs. Utilizing machine learning models, it identifies data-related problems, allowing you to retrain on your refined dataset with a single click. You can view a complete heatmap that illustrates recommended corrections for every class in your dataset. All this valuable information is accessible for free as soon as you upload your data. Additionally, Cleanlab Studio comes equipped with a variety of demo datasets and projects, enabling you to explore these examples in your account right after logging in. Moreover, this user-friendly platform makes it easy for anyone to enhance their data management skills and improve their machine learning outcomes.

Description

TYPO is an innovative solution designed to enhance data quality by correcting errors at the moment they are entered into information systems. In contrast to conventional reactive tools that address data issues post-storage, TYPO leverages artificial intelligence to identify mistakes in real-time right at the initial point of entry. This capability allows for the immediate rectification of errors before they can be saved and potentially cause issues in downstream systems and reports. TYPO's versatility means it can be employed across various platforms, including web applications, mobile devices, and data integration tools. Additionally, it monitors data as it flows into your organization or remains stored within the system. TYPO offers a thorough overview of data sources and entry points, encompassing devices, APIs, and user interactions with applications. When the system detects an error, users receive an alert and are empowered to make corrections on the spot. By utilizing advanced machine learning algorithms to pinpoint errors, TYPO eliminates the need for ongoing management and implementation of data rules, allowing organizations to focus more on their core functions. Ultimately, TYPO enhances overall data integrity and operational efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Amazon S3
Blotout
Databricks Data Intelligence Platform
Dropbox
Google Cloud Storage
Hugging Face
JupyterHub
Keras
Meltano
PyTorch
Snowflake
TensorFlow
Vertica
pandas

Integrations

Amazon Redshift
Amazon S3
Blotout
Databricks Data Intelligence Platform
Dropbox
Google Cloud Storage
Hugging Face
JupyterHub
Keras
Meltano
PyTorch
Snowflake
TensorFlow
Vertica
pandas

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cleanlab

Country

United States

Website

cleanlab.ai/

Vendor Details

Company Name

Typo

Country

United States

Website

www.typo.ai/

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Alternatives

Alternatives

CLEAN_Data Reviews

CLEAN_Data

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