In this session, we outline how this paradigm compresses research cycles: shifting time away from model optimization and toward signal exploration. We share benchmark results and workflow comparisons illustrating improvements in iteration speed, robustness across datasets, and faster feature testing. We also discuss how proprietary datasets can further enhance performance through co-training, enabling systematic teams to build differentiated models while retaining full control over their data and IP - Jeremy Ben Sadoun, CRO and founding member, Neuralk AI.