Abstract Multi-resonance thermally activated delayed fluorescence (MR-TADF) materials are leading candidates for next-generation OLEDs, yet their discovery has remained slow due to intuition-driven design and limited scalable strategies for broad chemical spaces. Here, we report a scalable integrated framework that combines in silico exploration via combinatorial tree search with experimental validation, enabling end-to-end discovery of MR-TADF emitter cores.