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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilize Kepler's Automated Data Science Workflows to eliminate the necessity for coding and prior machine learning knowledge. Quickly onboard to produce insights that are tailored specifically to your organization's data and needs. Benefit from ongoing updates and additional workflows developed by our expert AI and ML team through our SaaS platform. Enhance AI capabilities and speed up the realization of value with a solution that adapts alongside your business using the existing team and expertise you have. Tackle intricate business challenges using sophisticated AI and machine learning features without requiring any technical ML skills. Take advantage of cutting-edge, comprehensive automation, a vast collection of AI algorithms, and the quick deployment of machine learning models. Organizations are increasingly turning to Kepler to streamline and automate essential business operations, resulting in heightened productivity and agility while fostering an environment of continuous improvement and innovation. By leveraging Kepler's solutions, businesses can ensure they remain competitive and responsive to ever-evolving market demands.

Description

Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

MySQL Yes 
PostgreSQL Yes 
Amazon Redshift No 
Amazon S3 Yes 
Apache Hive No 
LiteLLM No 
Microsoft Azure Yes 
Opik No 
Python No 
SQL Server Yes 
Snowflake No 

Integrations

MySQL Yes 
PostgreSQL Yes 
Amazon Redshift Yes 
Amazon S3 No 
Apache Hive Yes 
LiteLLM Yes 
Microsoft Azure No 
Opik Yes 
Python Yes 
SQL Server No 
Snowflake Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Pay-as-you-go pricing
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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Stradigi AI

Founded

2017

Country

Canada

Website

www.stradigi.ai/why-kepler/

Vendor Details

Company Name

Predibase

Country

United States

Website

predibase.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare Yes 
For Sales No 
For eCommerce Yes 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing Yes 
Predictive Analytics Yes 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates Yes 
Visualization Yes 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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