A scalable AI Platform to transform your business
Connect data to your project fast
Connect data sets from IoT real-world data sources using industry standard protocols, connect to real-time databases or static data data sets. Depending on your needs set up real-time inference or investigate historical data sources.
Select a model for testing and training
Select from a pre-trained model depending on your use case. Quickly test the model with drag an drop inference or batch testing depending on your needs. Re-train and tune your model with different training data sets. Assign multiple training tasks within your project to manage work flow.
Establish ground source truth
Setting up ground source truth data labelling is
fast and secure. Assign your data label team or outsourced external team to expand capacity. Label 1,000 of events or image labels in an
intuitive user interface.
Validate model, benchmark and report
Within each project task you will have access to benchmarks and a report on model performance allowing you to compare and decide which model best suits your application. In addition this
provides an audit trail for quality management purposes.
Deploy your model
Once your model is developed you have several deployment options. This can be a custom user interface for desktop, tablet or mobile devices. Alternatively it can be an end point for integration into your own environment.
For edge-based applications you can choose from various platforms such as amazon green grass to Raspberry pi, Intel Edison or Nvidia.