Our forecasting system uses not only the fundamental data coming from the company (i.e. income statement and balance sheet) but also alternate data that are higher frequency and more dynamic. We also believe that each company is situated in a greater macroeconomic context and hence the changes in this context (e.g. other sectors, broader economy, monetary policy etc) significantly affect the fortunes of the company – and consequently its creditworthiness.

We use artificial intelligence and machine learning techniques besides other advanced analytical approaches such as control systems, complexity theory and agent-based models. These techniques combined with a wide range of data enable us to form a highly informed forecast of the financial health of a company.