The FreeWalkScan platform provides a sophisticated, fully automated solutions for observing unrestricted rodent gait within open-field environments, specifically engineered for high-level preclinical research. Utilizing proprietary AI-powered motion tracking, it identifies every footprint and stride in naturalistic settings, generating comprehensive spatiotemporal data including swing duration, stance phases, velocity, braking time, and multi-limb coordination patterns. These granular, objective analytics facilitate the identification of minor motor deficits, phenotypic variations, and therapeutic responses that remain invisible to manual observation or treadmill-constrained systems. By allowing subjects to move at their own pace without forced locomotion, FreeWalkScan offers superior ecological validity for behavioral neuroscience. It is an indispensable tool for characterizing models of ataxia, Parkinson’s, and chronic pain, ensuring that researchers produce reliable, high-fidelity datasets that meet the most stringent regulatory standards and academic peer-review requirements.