How it Works

Put powerful AI in the hands of your team with the Kepler platform.

The Kepler AI business platform takes the complex and manual process of conventional AI and transforms it into an easy 5-step process that can be performed by business users and domain experts alike, without the need for any machine learning experience.

The Kepler 5-step process.

Our automated workflows condense machine learning into an easy-to-follow, approachable process.

1

Identify business challenge

2

Gather applicable data

3

Generate a model

4

Evaluate results and learn

5

Choose how to use your model

Deploy model

Generate insights

Automated Data Science Workflows in Kepler.

The AI and Machine Learning workflows within Kepler allow businesses to scale AI across a wide range of business use cases that cross all industries and functions, from forecasting demand and workforce planning to medical image analysis and anomaly detection. 

Kepler can be applied to hundreds of use cases across your organization.

Tabular Classification

Tabular Classification

Predicts which category structured data will fall into.

Examples of use cases:

Tabular Regression

Tabular Regression

Measures the relationship between dependent and independent variables.

Examples of use cases:

Text Classification

Text Classification

Predicts the category of unstructured text data.

Examples of use cases:

Time Series Forecasting

Time Series Forecasting

Predicts a future quantity based on historical, sequential data.

Examples of use cases:

Anomaly Detection

Anomaly Detection

Finds outliers in data that differ significantly from the majority of the data.

Examples of use cases:

Clustering

Clustering

Clusters groups of unlabeled data into categories according to patterns and similarities.

Examples of use cases:

Image Classification

Image Classification

Categorizes images that share characteristics of a predefined set of categories.

Examples of use cases:

Recommender

Recommender

Evaluates similarities between a user’s purchase behavior and the purchase behaviors of other users in order to make highly relevant recommendations.

Examples of use cases:

Explore the different ways you can use Kepler to gain agility in your business.

The Kepler platform’s Automated Data Science Workflows: How they work.

How Kepler makes the development of machine learning models easier:

Not all your data is the same.

The Kepler platform leverages a wide range of data types, allowing you to use more of the business’ data to generate insights, create forecasts, and make better decisions.

Tabular

CSV, Relational Database

Workflows

Tabular Classification
Anomaly Detection
Regression
Time Series Forecasting
Clustering
Recommender

Text

CSV, Relational Database

Workflows

Text Classification

Image

PNG, JPEG

Workflows

Image Classification

What data systems does Kepler connect to?

Your instance of Kepler can be hosted on your choice of the following cloud providers:

Amazon Webservices

Microsoft Azure

What our clients and partners are saying about us.

Ready to accelerate AI adoption?

Find out how Kepler, a no-code AI platform, can transform your business and change how you make decisions, today.

Learn more about the Kepler AI business platform with our demo video.

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