Yupana provides advanced Passive Intermodulation (PIM) detection capabilities through the proprietary PIM Catcher tool and its integrated Machine Learning (ML) algorithms. This predictive analysis framework is vendor-agnostic, relying solely on specific, readily available Key Performance Indicators (KPIs) and network counters to accurately identify sectors exhibiting PIM anomalies. The prediction output is always followed by controlled stress testing to ensure rigorous verification of the identified issues. This methodology significantly enhances the operational efficiency of field technicians by accurately prioritizing high-impact PIM sites and delivering preliminary actionable recommendations. Furthermore, Yupana's analysis methods are engineered to efficiently distinguish between internal PIM, external PIM, and environmental RF interference.