Kortical

Kortical is for data scientists and developers who need to build and put machine-learning models into production while retaining control over the process. It helps teams reduce repetitive work across the model-development lifecycle, from exploring and preparing data to testing and deploying models. Users can inspect datasets, clean and transform data, engineer features, and run automated model experiments. AutoML can handle much of the model selection and tuning, while users can review and edit generated code to customize their approach. Kortical also provides model explainability and experiment comparison, plus deployment through its interface or API. Teams can use the platform to create and manage machine-learning apps and services, with options for model monitoring and retraining. Kortical may suit organizations with data-science or engineering expertise that want a configurable AutoML and MLOps platform for business-specific prediction tasks. It is less oriented toward people looking for a simple, no-code app with no involvement in model setup or deployment.

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