A fintech startup is considering adding a bias detection capability to their machine learning platform for bank loan decisions. The case explores whether this feature should be developed by analyzing customer preferences, market segmentation, and financial feasibility. Key findings show that banks with $1B-250B in assets, comprising 60% of potential sales, highly value this feature. The project requires $330k, but the startup only has $240k available. The recommendation is to proceed with development while securing the additional $90k through various funding options. The case involves market analysis, financial calculations, and strategic decision-making in a startup context.