From the website:
The Remesh platform uses machine learning to understand and engage groups of people with real-time conversation. This is achieved by allowing a single moderator to converse with a group as if they were a single intelligence. Beyond inline conversation, the group’s opinion on every response is collected, analyzed, and presented in real time.
Users begin by scheduling a session, identifying a sample audience, and preparing questions prior to the live discussion. Data extrapolated from the conversation is used to generate
a deeply queryable set of data—a series of knowledge graphs that contain the totality of the responses from the group and what each member thought of those responses
using the knowledge graphs, we generate a simple interactive data panel (something that a non-data expert can use) that automates the heavy lifting normally associated with qualitative research including the filtering & segmentation of results.
The technology offers the benefits of both qualitative and quantitative insights. That is, there is no sacrificing statistical significance for deep qualitative understanding.
Remesh Inc. was founded in 2013 and is currently based in New York. Their mission is “to make engaging with and understanding a group of people fast, informative and accurate.”