of data scientists.

For users in the financial sector we offer prebuild connectors to data providers like Bloomberg and Thomson Reuters. The core of our technology is the evolutionary development of Artificial Intelligence in combination with state-of-the-art deep learning methods. It follows a selection process (crossing-over, mutation, and selection) as known from nature. The result is neural networks that are automatically designed and optimized using our scalable learning technology.

These models provide a higher prediction accuracy, because the inputs, network structure and neuron weighting were optimized for the data and the purpose of the business case. This ensures that the swarm of artificial intelligence is perfectly matched to the data volume and represents the best compromise between overfitting and underfitting. This optimization is fully automated! It uses multiple performance parameters and dramatically improves predictive stability compared to a single model of artificial intelligence.

The first vertical are focusing on is the financial sector with customers being mid-sized banks, asset managers, and insurances.