Encord has released significant updates to its platform and project analytics, aimed at transforming how AI teams manage and evaluate projects and data annotation projects. The new features include Granular Label Quality Assurance, which enables teams to fix annotation issues faster and understand common label rejection reasons at scale, as well as Comprehensive Organization Analytics, which provides a centralized dashboard reporting on all projects, teams, and annotation activities with interactive visualizations and customizable reporting. Additionally, the platform has been upgraded with Project Analytics, allowing teams to monitor project progress in real-time and compare team performance with advanced filtering for targeted analysis. These updates aim to enable AI teams to improve data quality at scale without compromising development speed, while also providing streamlined collaboration and analytics to optimize workflows.