Labelbox has introduced a suite of new features and services in the past quarter, focusing on enhancing AI model evaluation, data quality, and human evaluations to support AI labs, disruptors, and high-tech enterprises. Key innovations include the Labelbox leaderboards, which utilize a scientific approach to evaluate multimodal AI models beyond traditional benchmarks, and a revamped user interface for model comparison, providing an arena-style experience. The platform's AI data factory combines human expertise with scalable technology to ensure high-quality data production, featuring tools like a real-time dashboard and a built-in AI critic for grammar and code. Labelbox also emphasizes the importance of human evaluation in model development, leveraging a network of Alignerrs for expert feedback and offering integrated on-demand services to refine models. Additionally, the company has expanded its resources with technical guides, interactive product tours, and community engagement opportunities to further support AI development.