Case Study: joii achieves 99% accurate menstrual monitoring with Monterail’s AI-powered mobile app prototype

joii achieves 99% scanner accuracy with Monterail

joii, an Irish femtech startup, approached Monterail with the challenge of transforming their innovative concept—using AI to analyze menstrual flow from photos—into a functioning mobile application. The key hurdles included developing for both iOS and Android, creating a highly accurate real-time image analysis scanner, and successfully integrating that scanner with the apps.

Monterail developed a hybrid Flutter application and built a scanner prototype capable of analyzing photos under real-world conditions. The solution resulted in a functional app prototype with a scanner that achieved 99% accuracy in image processing. Monterail successfully integrated this medically reliable tool with both iOS and Android apps, providing users with precise, quantifiable health data and enabling joii to launch its free app on both platforms.

joii