Omigami is an open-source Python and R package that gives users access to scalable APIs for the latest metabolomics algorithms. Shortly after publication, the package makes it easy for users to test and use new algorithms and pre-trained models in the metabolomics pipeline.
The primary objective of this project was to develop a distinct brand identity for Omigami that would differentiate it from other tools in the market. The owners of the company placed a high emphasis on creating a visually appealing and modern brand that was also versatile and scalable. In addition, as Omigami is developing multiple products, it was crucial to establish a cohesive design language for all app icons. My responsibilities for this project also included designing and developing a user-friendly landing page and dashboard for the tool to be utilized by scientists
The branding for Omigami was developed with inspiration from the Japanese paper-folding art of origami. All product icons were designed to resemble origami folded shapes. The dashboard design was created with the user onboarding process in mind. Sample files were provided for each tool to demonstrate how the AI manipulates data and the results that can be achieved. The website was developed using Webflow to ensure that clients have the ability to update content in the future easily.