The dominant risk is clinical translation: without clean, decision-grade efficacy/safety signals in 2026–2028, the platform will be viewed as a costly R&D engine rather than a compounding asset. Second-order risks are funding/
dilution (given burn), partner revenue lumpiness, and competitive convergence as more teams build end-to-end AI-native discovery stacks.