ModelOp’s model operationalization platform focuses on the end-to-end governance and full life cycle management across models — analytics, AI and decision models (including analytical models and models based on machine learning, knowledge graphs, rules, optimization, linguistics, agents and others). While the company already has established clients using the product for ML and other models, particularly in the financial sector, the platform is particularly well-positioned to take advantage of regulatory tailwinds pushing other industries to abide by more stringent ML/AI regulations as well as the growing popularity of Generative AI. Responding to these market changes, the company has started to market more in the “AI Governance” verbiage although behind the scenes the models are broader than just AI.