Eight years of real experiments, real batches, and real operational decisions — that is the foundation of our materials informatics system. We are building AI/ML on top of 1,000+ synthesis batches spanning 25 distinct chemistry families, because in physical materials science, diversity of data beats volume. This is what the foundation of an AI-native discovery engine looks like when it is built on real complexity.