Data is an advantage on its own and we collect from 2006. However from data to insight there is process that needs engineering and data science expertise.
We mine and cluster data from different sources, types and geographies and using a proprietary ensemble of customized data pipelines and processes
Using a proprietary ensemble of supervised and unsupervised machine learning models, we further enhances existing expertise to provide market indicators and and asset value predictions
Algorithms can outperform human experts in fields where data is rich and deep, allowing for continuous feedback loops and learning models that can adjust and refine over time.