KappaML is transforming the landscape of machine learning by offering an adaptive, efficient, and user-friendly platform tailored for online AutoML. Unlike traditional machine learning workflows that demand substantial expertise and resources, KappaML streamlines the process by continuously training and optimizing models on your data streams. This approach ensures consistent accuracy and performance over time with minimal operational overhead. Its adaptive nature allows seamless adjustment to evolving data patterns, mitigating concept drift without the need for resource-intensive retraining cycles. Deployment to production environments is swift, taking mere minutes, thanks to its intuitive management and comprehensive monitoring capabilities. Additionally, KappaML's continuous model training eliminates the necessity for periodic retraining, significantly reducing computational requirements and costs. With an extensive library of online machine learning algorithms optimized for classification, regression, and time series forecasting, KappaML is equipped to address a wide array of business challenges.