Textician is commercializing a patented breakthrough in machine learning on text. While the technology is applicable in a number of applications, our initial focus is on healthcare. Specifically, what can you learn from the unstructured notes in the Electronic Medical Record (EMR) - the doctors' notes, lab summaries, discharge instructions, etc. - to improve revenue, reduce cost, and save lives? Our NoNLP(tm) technology is a distributed representation of unstructured text over a fixed-length vector. That is an ideal input for common machine learning algorithms that process structured data. Similar technologies have been around since our founder co-invented them in the 1990's, but NoNLP(tm) technology is a leap forward: while older representations act as a "bag of words," ours include arbitrary structural information - sentences, paragraphs, document sections, and even negation - in the same vector. Thus, machine learned models have a much richer set of information to learn from. Contact us via the website to learn more!