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.