What is Kortical?
Kortical offers a comprehensive AutoML platform designed to simplify and accelerate the machine learning workflow. It starts with automated data preprocessing, handling missing values, feature engineering, and data normalization. The platform then runs multiple algorithms in parallel, performing hyperparameter tuning to find the best model for your dataset. Kortical provides explainable AI features, allowing users to understand model decisions through feature importance and SHAP values. It supports various data types including tabular, text, and image. Deployment is seamless with one-click model serving via REST API, and models can be monitored for drift and performance over time. Collaboration features enable teams to work together on projects, and integration with popular data sources like AWS S3, Google BigQuery, and Snowflake is built-in. Kortical is suitable for both beginners and experienced data scientists, offering a visual drag-and-drop interface alongside an SDK for those who prefer code. With its focus on speed and scalability, Kortical helps organizations reduce time-to-market for AI solutions.
Use Cases
Key Features
Automated machine learning (AutoML) pipeline No-code visual interface Explainable AI with SHAP and LIME Automated hyperparameter tuning One-click model deployment Model monitoring and drift detection Collaboration tools for teams Integration with cloud data sourcesWho is it for?
Data scientists, machine learning engineers, business analysts, and organizations looking to adopt AI without extensive coding
