Natural language processing supports investment bankers


At a major German bank, thousands of final reports, each with hundreds of pages, were to be examined for risks / anomalies. The goal was to optimize the portfolio and provide a better basis for investment decisions.


Using a natural language processing framework that performs feature engineering based on financial statement text, our Data Scientists were able to perform anomaly detection and supervised machine learning using historical company information such as sales in subsequent years or bankruptcies.

Added value

  • With a probability of 70%, the bankruptcy of a company within the next 5 years can be predicted
  • Identification of conspicuous text passages from current annual reports, as an additional basis for decision-making for investment bankers


  • Thousands of annual reports, each with hundreds of pages, were examined using natural language processing
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Our Data Scientists delve into the depths of your data and uncover new, business-relevant information. With the help of artificial intelligence and our understanding of company-specific business processes, we transform your data into added value and uncover new opportunities and potential for your company.