Gamalon, an AI learning startup has announced the first artificial intelligence (AI) system that can process natural language and then explain what ideas are present and how they are organised.
Using the company’s Idea Learning technology, one person or a small group can understand what millions of people or customers are saying, and provide individualised responses and experiences, the Cambridge, Massachusetts-based firm said.
Existing “black box” machine learning approaches to natural language are able to summarise by extracting statistically significant text or to categorise by following human-categorised examples, but these systems have not been able to structure, organise, and assemble compositions of ideas and sentiments from text, and then communicate this learned structure of ideas to people, Gamalon noted.
“Gamalon’s mission is to accelerate human understanding by combining human and machine learning. ... ... When Gamalon’s Idea Learning technology reads large amounts of text, and forms ideas, the AI becomes an extension of you — allowing you to read and respond to huge volumes of messages” said Ben Vigoda, Gamalon’s Founder and CEO.
“In the hands of a data scientist Gamalon can also be a sophisticated machine learning tool to perform data prep on many different sources of unstructured enterprise natural language," Vigoda. According to reports, Gamalon has already raised $20 million Series A funding with lead investor Intel Capital and other VCs. The company was also recognised by MIT Technology Review and named as 50 Smartest Companies in the 2017 list.
The infusion of capital brings the total investment in Gamalon to more than $32 million including investment by the US Government in next generation machine learning over the past five years. The funding will allow Gamalon to continue to invest in R&D and to expand sales and marketing efforts to the enterprise. Vigoda said “The Gamalon system ... will allow enterprises to truly understand what their customers are saying and to take strategic action, as well as to immediately reply 1-to-1.”