Fleda Digital Twins applies artificial intelligence, mechanistic modeling, and curated scientific data to create interactive digital twins for medicine, research, and production. These models can help scientists explore biological pathways, compare experimental conditions, evaluate formulation decisions, and support faster evidence-based development.

 

Our first featured project is the C3 Complement Digital Twin, an interactive model for exploring C3-centered complement activation across clinical and research scenarios. Users can adjust biological conditions, validate model behavior, and review scenario-specific predictions through the live application.