• 1

    Performance for all skill levels

    Performance for all skill levels with a code-first model, drag-and-drop constructor and automated machine learning.

  • 2

    Robust MLOps

    Robust MLOps capabilities that integrate with existing DevOps processes and help manage the entire machine learning lifecycle.

  • 3

    Modern objectivity and interpretability

    Modern objectivity and interpretability of the model for the responsible creation of AI solutions with an increased level of security and an improved cost management mechanism for an advanced management and control system.

  • 4

    Best-in-class support

    Best-in-class support for open source platforms and various languages, including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R