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.