Based on decades of experience in applying artificial intelligence, Bolesian offers you smart products to solve practical problems. These solutions include document analysis, geo-referencing of information, analysis and classification of visual data, monitoring and diagnosis of business processes and the classification of privacy-sensitive information. With our AI solutions we get the job done!
Semantizer is our platform of intelligent bots for classifying and processing relevant information in large quantities of documents. For example to prepare information to be used as open data within privacy regulations (i.e. GDPR or AVG). Using natural language processing (NLP) and knowledge reasoning Semantizer can efficiently deal with the task at hand. The bots in Semantizer analyze and classify information, extract metadata, structure, organize and summarize documents based on semantics; the meaning of the content. Get quick access to the information you need with Semantizer.
Geonizer is a special edition of the Semantizer platform. This intelligent platform is dedicated for geo-referencing digital information. Geonizer bots analyze digital information, classify relevant references to objects in the real world and extract geo-data. This way you can access your valuable information from a map or a GIS. Geonizer visualizes the physical world that is hidden behind all those digital documents. We create the possibility to instantly have a complete overview of all the objects and cases referred to in your documents. The world of information at a glance.
Our Sentinizer platform hosts a collective of sentinels (intelligent agents) that analyze and diagnose large quantities of visual data collected from your business processes. Using deep learning or computer vision in combination with knowledge reasoning, these sentinels are trained to detect and classify anomalies in images. They communicate and interact to chart the situation, weigh options and advise on interventions based on their collective knowledge. By early detection of deviations in comparison to the ‘standard situation’ and prediction of disruptions in business processes, action can be taken before a deviation becomes a costly problem.
