Quality Match focuses on enhancing the quality of vision-based datasets for machine learning applications. They utilize quantitative metrics to verify and improve dataset quality, providing real-time actionable insights that lead to better-performing AI models. Their solutions aim to create highly efficient and auditable computer vision datasets.