Overview

Facing GDPR requirements, we created SensID, based on advanced NLP algorithms and machine learning. It allows analysis of structured and unstructured data, its detection, scanning, classification, cataloguing and protection, building a central register of personal data processing and creating additional business value as a side effect of GDPR compliance. What other problem do we solve? Big Data is composed of structured and unstructured data. Unstructured data, the toughest to collect, analyze and interpret, makeup 80% and more of enterprise data, and is growing at the rate of 55% and 65% per year. At the same time, the information load, the value of data, its relevance, increases with the decrease in its volume. To make it short - to grow every business, you need only the essential data, that selected information you can call knowledge. What we have to offer is the tool that will discover, translate and orchestrate all the data in a company. Out of the overwhelming information chaos, the client gets one source of truth, the truth he needs to see, no matter how to define its variables. SensID now works in a realm of GDPR, but in general we plan to extend the SensID capabilities, and already work on preparing SensID to: - Automatically discover data on a given semantics from unstructured data (i.e. documents, emails. chats), structured and semi-structured data (i.e. databases) - Combining distributed data from many sources and making it consistent - Create a uniformed semantic access layer access to all collected information