Superluminal’s platform has achieved a deep integration of AI/ML with biology, structural biology, and chemistry expertise to build the foundation for next-gen R&D and accelerate the discovery of candidate-ready compounds. The predict-design-test architecture accurately models protein shapes and designs highly selective compounds to target the precise structural change for therapeutic effect. Its discovery engine is powered by an industry-leading, pharmacokinetic and toxicology in silico prediction capability. The company’s proprietary pipeline validates its platform with initial programs focused on high-value GPCR targets, including its wholly owned lead program, a best-in-class, selective, and biased MC4R agonist for the treatment of obesity, which is expected to enter the clinic in 2026.