Wemagine
Synopsis
Over the last few years, the technical capabilities of artificial intelligence have exploded. One of the newest paradigms within artificial intelligence research has been text-to-image conversion. The technology is powered by neural networks that can auto-generate an image based on natural language inputs. Wemagine uses the powerful DALLE-2 system as our backend and empowers office employees to co-create the wall art by interacting wemagine system through speech. Through the collaborative interaction with the wemagine system, we hope to create a fun and social working environment for office workers and increase the productivity for the company.
Reflection
The main focus in this course was the business development (and not the idea). This course finally showed me the usefulness of some business tools, such as the business model canvas. In previous courses, I always felt that these tools made no sense. Through this course, I came to realize that this was because we were using them to analyze an already existing concept. Applying it to our own novel concept finally allowed me to see how these tools are mostly useful to spot ‘gaps’ in your business model. Some of the lessons learned here were later applied in Rootnote.
The (ficticious) company logo.
mockup of the proposed product functionality. Collaborative Text-to-image creation in an office setting.
The company mascot. An astronaut in all kinds of situations imaginable.