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Cost savings, process acceleration, quality improvement, scalability: contract data can be captured a full 10x faster using AI technology, making it significantly less expensive than the average manual data entry - at a much lower error rate.

Complex topics, high-tech support: AI technology does not replace an underwriter, but it can assist in the daily work with long, complex texts and massively accelerate processes.

The applications of Natural Language Processing (NLP) are manifold. What exactly is possible? “NLP” is often used as a buzzword or generic term. But just as not all AI is the same, the same applies to NLP.

The difference between a quick, successful implementation and a never-ending proof of concept lies not in model training, but in the selection, conversion, cleansing, creation, and annotation of training data.