Kepler is a self-serve platform designed to make AI and machine learning accessible to businesses of all sizes. It simplifies the process of building, training, and deploying AI models, even without prior machine learning expertise. Kepler automates complex data science tasks, allowing users to focus on business outcomes. Its features include automated workflows for various use cases like forecasting, prediction, and anomaly detection. Kepler integrates with existing systems and allows for quick deployment of AI models to generate rapid results.
Who is Kepler best for
Kepler is a self-serve AI platform designed for medium-sized businesses seeking to leverage AI without extensive machine learning expertise. It simplifies building, training, and deploying AI models, automating complex data science tasks. Kepler offers automated workflows for forecasting, prediction, and anomaly detection, integrating with existing systems for rapid AI deployment. With Kepler, businesses can quickly generate results and focus on business outcomes.
Ideal for medium-sized businesses.
Suitable for various industries.
Kepler features
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Kepler offers supervised learning algorithms for classification and regression.
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Kepler by Stradigi AI provides tools and frameworks for building AI models.
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Kepler platform by Stradigi AI simplifies AI model creation by automating the process.
Kepler alternatives
IBM SPSS Modeler
Better fit for enterprise companies and specific industries like healthcare, finance, and government. More established, with a larger user base and more reviews. SPSS Modeler is known for its drag-and-drop interface, but some users find the UI complex and the cost high. A strong IBM SPSS Modeler alternative for medium-sized businesses.
Better for managing and tracking machine learning experiments. A Kepler alternative designed for larger teams and projects. More user-friendly with better customer support. Neptune.ai is growing faster than Kepler.
Better for application building and AI integration into business processes. Focuses on security and control for responsible AI implementation. Has a higher average rating and is growing faster.
Better for securing AI-powered chatbots. Focuses on AI reliability and security, including bias detection and data leak prevention. Aporia is growing faster and has positive reviews for its user-friendly interface and customer support. A Kepler alternative and competitor.
Kepler is a self-serve AI platform designed to make machine learning accessible to businesses of all sizes. It simplifies building, training, and deploying AI models, automating complex data science tasks. Kepler offers automated workflows for use cases like forecasting, prediction, and anomaly detection, even without prior machine learning expertise.
How does Kepler integrate with other tools?
How does Kepler integrate with other tools?
Kepler integrates with existing business systems, enabling seamless deployment of AI models for rapid results generation. It simplifies the process of building, training, and deploying AI, automating complex data science tasks.
What the main competitors of Kepler?
What the main competitors of Kepler?
Alternatives to Kepler include IBM SPSS Modeler, H2O Driverless AI, and Ople. These platforms offer similar AI model building and automation capabilities for businesses seeking to leverage machine learning. Other competitors like neptune.ai focus on experiment management and model tracking.
Is Kepler legit?
Is Kepler legit?
Kepler is a legitimate platform designed to simplify AI implementation for businesses. It automates complex tasks, making AI accessible even without specialized expertise. A 4.5/5 rating from G2 suggests user satisfaction with Kepler's capabilities and ease of use.
How much does Kepler cost?
How much does Kepler cost?
I couldn't find pricing details for Kepler. Contact Kepler directly to discuss pricing and determine if Kepler is worth the investment for your needs.
Is Kepler customer service good?
Is Kepler customer service good?
There is no information available about Kepler's customer service.
Reviewed by
MK
Michal Kaczor
CEO at Gralio
Michal has worked at startups for many years and writes about topics relating to software selection and IT
management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs
of any business and find solutions to its problems.
TT
Tymon Terlikiewicz
CTO at Gralio
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech
department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX,
HR, Payroll, Marketing automation and various developer tools.