Writesof

For the past four years, our U.S. / Israeli partnership has been quietly developing natural language processing (NLP) and language generation (NLG) technologies that will help impact the way that organizations produce and distribute data-descriptive text communications to better engage individual readers and unique audience segments.

Our production automation capabilities in NLG include subject/attribute-driven content writing, page / ad copy writing, product description generation, business data / performance reporting, technical / relational data reporting, financial article generation, and semi-autonomous kpi-driven copy editing. We aim to be the global leader in natural language generation technologies, providing output muscle to existing natural language understanding technologies. Our NLG is the “user engagement” part of the natural language processing cycle – a sophisticated and personalized voice that communicates to, reasons with, and or persuades a specific audience or individual user.

We are using advanced methods of machine learning, driven by an internal (saas model) user interface that trains our NLP and NLG systems to semi-autonomously improve communication outcomes though autonomous, performance-driven system engagement with readers and audiences.

Our technology is miles ahead of even the most sophisticated chat bots and template-driven NLG systems. It is driven by user interactions with the language itself at the subject level, even down to the subject’s known attributes, which are in constant relative correlation with traffic / user data that we collect and analyze, in near real time.

Our tech can write millions of product descriptions at a time and analyze and autonomously edit millions of strings of text within millions of narratives by continuously analyzing user / traffic performance metrics in correlation with our NLP analytics data.