We include human feedback within auto-ML so the process becomes smarter, more confident and faster than traditional end-to-end learning systems. This is achieved using a continuous feedback loop or ‘human-in-the-loop’ approach, allowing humans to play an essential role in training and validating data.
Our AI applications are delivered via the cloud and seamlessly integrate with existing processes via custom APIs. We take care of all processing power and data storage needs so there are no limitations on size of project, while our web user interface provides access to a full suite of data visualisation tools.
Saffronblue AI can be used within any industry, from financial services to healthcare, retail to pharmaceuticals. Within financial services, our technology is automating traders’ charting analysis and market scanning, enabling them to discover better quality trading opportunities.
Saffronblue allows you to get AI up-and-running quickly, using a combination of data augmentation, pre-processing and pre-trained models
Our approach to auto-ML covers the complete picture, from the raw dataset to the deployment of the final machine learning model
We take care of all processing power and data storage needs so there are no limitations on size of project, while our web interfaces deliver a full suite of data visualisation tools