With simple configuration, users can easily launch a machine learning cycle to support continuous learning and estimation, making AI products truly accessible to business users.

Integrate AutoML capabilities across the full process to automatically support data processing, table splicing, feature derivation, feature selection, algorithm optimization and model selection. Simplify machine learning process into data preparation for business users with automatic table splicing.

With the world-leading and self-developed AutoML technology, outperform 85% of data scientists in many competition datasets and effectively ensure business outcomes.

Enable automated model deployment, real-time/batch processing models, one-click online/offline application and multi-dimensional reports.

Support model exploration, batch estimation, and automatic retry of the failed model self-learning tasks.

Enable iterative self-learning from actual feedbacks based on closed-loop approach, while providing full self-learning and incremental self-learning to iteratively improve the model and ensure the long-term effectiveness of the model.

Update the model in minutes powered by incremental self-learning, maintaining the flexibility to address the ever-changing business needs.