The Tail Suspension Test (TST) is a widely used preclinical paradigm for assessing depression‑like behavior and screening antidepressant efficacy in rodents. Mice are suspended by the tail, and their movements are continuously monitored to quantify active struggling versus passive immobility as indicators of coping strategies. Manual scoring is labor‑intensive and prone to observer bias, limiting throughput and reproducibility.

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Clever Sys automates the Tail Suspension Test for rodents using high‑resolution video capture and AI‑based behavior recognition. The system objectively classifies mobility states, extracts detailed temporal and frequency‑based metrics, and generates standardized reports suitable for regulatory and GLP environments. This automation improves data quality, supports robust dose–response and longitudinal studies, and enables consistent cross‑study comparisons for academic, pharmaceutical, and CRO laboratories focused on mood and anxiety disorder research in rodent models.