Owkin is a biotech company applying AI and federated learning to personalize treatments, accelerate clinical trials, and develop diagnostic tools.
Visit OwkinOwkin's vision was to help biologists in pharma, biotech, and academia better formulate and validate scientific hypotheses. For that, they needed an interface that would merge public and private information, AI-driven insights, and data visualizations. Our Merge team was asked to guide product discovery, design an MVP and a scalable UI system, and prepare materials for the product’s release.
We completed a full UX exploration and competitor analysis and built a new, scalable design system from scratch. Our team also designed the UX/UI for the web application and provided marketing design support. UX support is still ongoing.
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Our team led structured sessions with Owkin’s product owners, biologists, and developers to understand user goals, identify pain points, and align on product priorities.
There was a core problem we needed to fix. Biologists found it difficult to directly interact with large and varied datasets, and traditional methods either required coding skills or reliance on separate bioinformatics teams.
We designed an interface where they could ask questions in natural language and receive AI-generated insights and visualizations right there. A key design point was transparency in the AI's reasoning that would show users the data sources and methods behind each answer.
The main goal and challenge for the design was to avoid looking like competitors with their dense, often intimidating interfaces typical of existing scientific software. It was supposed to be a more approachable and user-friendly experience that would also match Owkin's established identity. Feedback from the client’s marketing team led to incorporating warmer, beige tones and using Owkin's existing font for a clearer connection to the brand.
For this project, our team has provided a full UI/UX solution featuring AI-powered chat interfaces, interactive data visualizations, and transparent AI reasoning panels. We were able to translate complex scientific workflows into an approachable platform for non-coding biologists while preserving rigorous data detail. As a result, the users of the platform are satisfied with the interface and are able to focus more on hypothesis testing rather than dealing with technical issues.
Special thanks to Owkin for seeing Merge as a trusted design partner capable of handling specialized biomedical platforms, and looking forward to more future collaborations.