Redefining how enterprises work with data-driven intelligence.

Kepler is an AI business platform that scales AI-powered decision-making to business users, accelerating time to value of data-driven intelligence and providing accurate, timely insights that unlock the latent value of data.

Simplify AI and machine learning

Leverage Kepler’s Automated Data Science Workflows and remove the need for coding and machine learning experience.

Use more of your data

Use more than tabular data with Kepler as it can handle tabular, text and image.

Realize value in record time

Onboard quickly and generate data-driven insights unique to your organization and your data.

Leverage the latest technology

Receive continuous updates & additional Workflows built by our world-class AI and ML team via our SaaS-based model.

By role.

For business leaders

Add powerful, data-driven insights and prediction capabilities to your business.

Scale AI and accelerate time-to-value with a platform that grows with your business using the team and skills already present within your organization.

For business users

Augment your productivity.

Address complex business problems with advanced AI and machine learning capabilities without the need for technical ML experience.

For AI and analytics teams

Accelerate the time to market of AI projects and spend more time on the critical strategic aspects of your work.

Leverage state-of-the-art, end-to-end automation, an extensive library of AI algorithms, and the ability to quickly deploy machine learning models.

Some of our clients and partners.

Organizations are using Kepler to augment and automate critical business processes to improve productivity and agility.

Customer behavior modeling

Discover what drives your customers’ behavior to better analyze and predict outcomes.

Business planning

Support decision making with predictive insights to increase confidence, accuracy and frequency.

Augmented decision making

Develop critical insights from your data to support business plans and optimize processes.

Process automation

Use AI and ML to automate processes, adding speed and precision in critical functions within your business.

Examples of common use cases by industry.

Manufacturing Industry

CPG Industry

Financial Services

Entertainment Industry

Online Platforms

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

“Our global search for partners that can help us to accelerate and maximize the delivery of predictive models using AI and ML led us straight to Stradigi AI and Kepler. The ease of use, the 60% acceleration of the time-to-market of our predictive models, combined with the technical expertise and efficiency of Stradigi's customer success team were the main reasons for that choice.”

Edu NevesCo-Founder and CEO, ReclameAQUI

"Data analytics is critical for us to gain accurate user insights. Rooter has amassed a large amount of data, but a shortage of experience and infrastructure around AI and machine learning has held us back from implementing data-powered applications. Having an AI company like Stradigi AI will empower us to utilise our data and improve our product, personalise content, churn superior interactive content, create prediction models to help users to make fantasy teams, and enhance user experience."

Dipesh AgarwalCo-founder and COO at Rooter

“We needed to add more certainty to our demand predictions. Getting a product from concept to shelf can take between 9 and 12 months. Often, if we don’t stock the right amount of inventory, by the time we realize it, it’s too late to fix. Improving our demand forecasting is a top priority, and we see the Kepler platform as a critical tool in building more accurate demand prediction models so we can actively drive down shortfalls and excess inventory.”

Oswaldo Moreira Neto Director of Marketing and Innovation at Seculus

How it works.

Kepler is an AI and Machine Learning platform built to scale both AI projects and the use of AI across your organization. Kepler takes the often complex and manual aspects of generating machine learning models and makes it available for use by a broader set of business users, adding powerful predictive capabilities and insights to more areas of the business.