Data Science
Frameworks

The best-of-breed data science frameworks are already included, integrated and prepared to get started in your AI journey.

  • Jupyter Notebooks (Python, Scala, R)
  • H2O
  • Spark
  • TensorFlow
  • Ludwig
see documentation

Data science
Data Labeling

An annotation tool so efficient that data scientists can do the annotation themselves. Train and evaluate your models fasteream in your own examples or real-world data from live APIs, update your model in real-time or chain models together to build more complex systems.

see documentation

Data science
Pre-built models

Pre-built models for many use cases are bundled in to solve the most common use cases:

  • Text: Entity Extraction, Sentiment, Categorization
  • Images/Videos: Object Detection, OCR, Face Recognition, Captioning, Number Plate Recognition
  • Audio: Speech Recognition
  • Clustering: Detect information groups with common traits
  • Anomalies: Detect uncommon behaviours in your data
  • Forecasting: Predict future values based on historical data