Vendor needs to provide marker less motion capture system. System must be a marker less motion capture solution capable of extracting accurate three-dimensional pose and biomechanical data from synchronized multi-camera video using advanced machine learning methods. The system must support naturalistic movement capture in environments that closely resemble real-life conditions, thereby improving ecological validity while maintaining research-grade data quality. The system must eliminate the need for physical markers, manual participant preparation, and model calibration, as these steps are impractical for use with neurologically impaired populations who exhibit variable motor control and movement patterns. Markerless 3D motion capture from multi-camera video streams. High-precision, research-grade biomechanical output suitable for quantitative analysis. Proven validation in peer-reviewed scientific literature. Compatibility with commercially available motion capture and data processing workflows. Flexibility to operate with cameras from multiple manufacturers, allowing future expansion and customization. Features setup and configuration requirements designed to support rapid deployment in laboratory environments. Alternative systems that rely on markers, or require extensive custom development and integration will not be accepted. All the questions must be submitted no later than February 10, 2026.