
The chasm between a data scientist’s meticulously crafted model and a stakeholder’s tangible understanding has long defined one of the industry’s most persistent challenges, often relegating powerful insights to the confines of a code notebook. For years, the workflow has been linear and fragmented: analyze, model, and then face the separate, time-consuming task of building an interface for others to










