When Ajit Narayanan created an app that used pictures and questions to convert ideas into perfect English-language sentences, he was addressing language challenges that children with autism face every day. However, he discovered that the app could be used to to communicate across all barriers of understanding. 

The idea began as a way to remove the abstraction of letters and replace them with the more literal representation of pictures. Narayanan then developed a question system to graph more complicated ideas, calling the app, "Avaz FreeSpeech," after his first communication app, "Avaz."

"The thoughts that we have in our heads are not one dimensional," Narayanan told an audience at a TED Talk. "Language is really the brain's invention to convert this rich, multi-dimensional thought into speech."

The visual language maps out complicated ideas into an organized sequence by asking a series of questions. Narayanan's first app, Avaz, is currently available and Avaz FreeSpeech is slated to be released by the end of this year after undergoing a series of tests in India. 

In his TED Talk, Narayanan suggested that a similar system to FreeSpeech could be used for Google searches to develop algorithms that process a universal "data structure of thought," eliminating the challenges of information sharing in a diverse world of so many languages. The majority of online content is in English, as is the language that dominates coding and computer programming.