Katonic Automates the End-to-end data science processes to accelerate ROI and lower the total cost of model development. Katonic automatically builds thousands of Features from raw data to feed machine learning models for superior business decisions.
Katonic's patented technology fully automates feature engineering, which is typically the most challenging and the most time-consuming part of data science.
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Access any framework of your choice right out of the box, without spending time applying custom code. Katonic supports the best machine learning and deep learning frameworks: Tensorflow, PyTorch, Scikit-Learn, XGBoost, Keras, Hugging Face, FastAI, and more.
End-to-end secure enterprise-grade ML platform with multi-tenancy, authentication, and identity services to run entire ML pipelines securely and efficiently.
Automated feature engineering with Katonic allows one to create thousands of features automatically from a set of related tables using a framework that can be easily applied to any problem.
Allow to run ML workload to run anywhere/any platform seamlessly. E.g. Laptop, Cloud, On-prem, OS. MLOPS capability enabling robust scaling, governance, integration, monitoring and management of various AI models.
Katonic supports all state-of-the-arts machine learning algorithms, including scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch. It automatically tunes all these algorithms to build accurate predictive models, with scalable distributed computation.
Shorten the onboarding of new users and ML initiatives with a complete toolkit powered by Kubeflow and a toolkit of Python deep learning frameworks and NLP libraries.
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