One of Lucid's key components is zGAN, a patented synthetic data generator that enables the modeling of complex scenarios and cases even with limited or incomplete data. zGAN generates high-quality synthetic data by simulating real-world conditions, making the model development process more flexible and robust. This allows companies to work with large datasets without the risk of compromising privacy or protecting personal information.
Lucid provides the ability to create scoring models and other classifiers without having to write code. With advanced algorithms and built-in analytics tools, users can quickly and efficiently develop models that accurately assess various risk metrics and make data-driven decisions.
The platform automatically processes incoming data, preprocesses it and applies optimized machine learning techniques to generate accurate scoring predictions.
Create model
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Once a model is created, Lucid allows you to instantly deploy it to a production environment. With a built-in deployment infrastructure, users can easily integrate their models with existing business processes through secure API interfaces.
The platform also provides powerful tools to monitor model performance in real-time, so you can track model performance, identify potential issues, and adjust settings in a timely manner to maintain high levels of performance.
Deploy model
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One of the unique features of Lucid is its flexibility and transparency at every stage of the modeling process.
Users can not only easily track all stages of development and deployment, but also get a complete picture of how and why certain decisions are made.