Online Automated Machine Learning for Streaming Data

Create, deploy, and monitor online AutoML models in production.

KappaML API Demo

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Why Choose KappaML for Online AutoML?

Traditional machine learning development requires significant expertise and resources for model selection, hyperparameter tuning, and periodic retraining. KappaML transforms this paradigm by offering a streamlined solution that continuously trains and optimizes AutoML models on your data streams, ensuring consistent accuracy and performance over time with minimal operational overhead.

Adaptive: Seamlessly adjust to evolving data patterns and mitigate concept drift without resource-intensive retraining cycles.
Simple: Deploy to production environments within minutes with intuitive management and comprehensive monitoring capabilities.
Efficient: Leverage continuous model training that eliminates the need for periodic retraining, significantly reducing computational requirements and costs.
Versatile: Address a growing spectrum of business challenges with our extensive library of online machine learning algorithms optimized for classification, regression, and time series forecasting.