Nspect uses a series of neural nets constructed on multiple frameworks, python algorithms and some other outside of the box methods on it's path to achieving Artificial Intelligence. Nspect receives the documents securely, sorts them according to their document type. Once the documents are "classified" they are then digitized. Using our ML based OCR, the text is extracted from the documents then relationships are formed using antoher neural net e.g. Date = 11/26/17. After this process concludes, data is packaged neatly and available in a variety of formats (.csv, JSON, .xml, etc.) and ready to be consumed by your application or database.