Dr. Philipp Daumke presents Averbis, a company that leverages structured and unstructured data through natural language processing and machine learning. Their tools can automatically categorize patents and research literature at scale to help with market analysis, competitor monitoring, and portfolio management. Their machine learning systems are trained on labeled data to imitate how experts classify information. Case studies demonstrate how their tools can save up to 80% of the time spent on tasks like patent landscaping compared to manual labeling, with similar levels of accuracy.