Enterprise teams get an interpretability platform (Cobalt) that opens the black box of LLMs — visualizing feature activations, clustering behaviors into auditable maps, highlighting weaknesses, and comparing any mix of models and datasets (including proprietary data). Uncovers latent patterns in unlabeled production logs and recommends targeted prompt tweaks or synthetic training sets to enable rapid, evidence-based improvements that boost reliability, speed adaptation, and support compliance.