The nature of manual data entry work is the highest source of errors. To reduce the error rate and the treatment time, we use a combination of AI, manual and optical character recognition techniques. Even heterogeneous handwritten metadata get perfectly captured. Thanks to our active learning algorithms, we can build accurate document processing models faster and with less data. Business rules can be integrated so that data can be enriched and validated. The algorithms learn from context and are flexible to input format changes because they interpret text and layout, not just memorize it. These self-learning models improve over time through exception validation. As we handle exception validation, we guarantee 99,5% “worry free” accurate data, helping you improve customer satisfaction and employee motivation.