From data exploration to modeling to production, RapidMiner offers end-to-end automation and augmentation to enhance productivity and simplify the path to results. Because no one needs unnecessary complexity—even data scientists.
Simplify the process of getting data ready for predictive modeling.
Interactively explore data to evaluate its health, completeness, and quality. Quickly fix issues like missing values and outliers, blend datasets together, and create new columns when your use case calls for it.
“If data preparation is such an important part of data science, we need to make it simpler.
Let’s make sure that the resources we currently have, or we are going to hire in the future,
are more productive.”
Dr. Ingo Mierswa
Founder and President, RapidMiner
Less Time to Insight
Build predictive models in a matter of clicks.
Leverage automated functionality including Hyperparameter Tuning and Automatic Feature Engineering to build the best model for your use case. Open any model as a visual workflow for explainability, refinement, and tuning—no black boxes here.
Excellent Interface and Easy Model Generation Thanks to AutoModel
We started using RapidMiner Studio years ago. The excellent results speak for themselves,
so we have been very satisfied with our cooperation with RapidMiner for a long time. The
support is remarkable and leaves nothing to be desired.
Smart Tool Related to Machine Learning and Data Science
This has completely changed how we handle our database schemas, how we achieve
success and make long-term plans, and how we make decisions. We've deployed
RapidMiner throughout our whole business since it's applicable for each and every use
case, sparing us a tremendous quantity of effort and resources.
Corporate Communications Manager
Automated Machine Learning
RapidMiner is an awesome visual workflow designer. The way they present visually is so
unique. It helps in speeding and automating the creation of visual models. It helps in
creating models in only 5 clicks by automated machine learning.
Senior Software Engineer
Best Data Science and Machine Learning Solution
Overall, I had a positive experience with RapidMiner. It is a unified platform where I can
judge my data overall and we can easily decide where we need improvements and what is
working well. Due to its machine learning, I am confident about my decision that keeps my
brand standing out in a competitive world.
Senior Software Engineer
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Code-Free ML Ops
Turn promising projects into impactful business solutions.
Using RapidMiner’s no-code deployment, automatic monitoring, and insight delivery capabilities, your team can efficiently put strong models into production, ensure that they create long-term value, and make results easy to consume using custom dashboards or your preferred BI platform.
“Enterprises need tooling that lets people with diverse backgrounds and skillsets work
together to breakdown silos and cooperatively catalyze change.”
President & CEO, RapidMiner
Data Scientist in a Box
It never hurts to have an extra data scientist. While many platforms offer automation, they also cut corners.
Use RapidMiner’s automation and augmentation to go beyond model creation and enhance under-considered aspects of the data science lifecycle. Ensure that no-code data science is still real data science.
Time-saving augmented data prep
Unparalleled auto feature engineering
Automatic process explanations
Get the most from your data
Learn all the ways that RapidMiner helps forward-thinking enterprises manage the entire data science lifecycle and empower employees of any skill level to create data-driven insight.
Learn how leading organizations in the food and beverage industry can use RapidMiner to make machine learning more accessible, optimize their processes, and differentiate themselves from the competition.
Presenting model accuracy or recall to your leadership team won’t get the buy-in you need to put a project into production. In this guide, you’ll learn why determining the financial impact of your models is a more useful path and how to calculate that impact.