Case Study: Voxel scales annotation workflows and model development with Encord

Voxel cuts labeling costs by 60-80% with Cord

Voxel, a global leader in workplace safety, faced operational challenges in scaling its computer vision model development. Their initial open-source annotation tooling proved inadequate for growth, leading to difficulties with data management, user interface, and handling video data. These issues hampered their ability to update models efficiently and address edge cases. To overcome these hurdles, Voxel sought a more robust platform and partnered with the vendor Cord.

Cord provided a video-first platform with critical features like image group classification and robust video support. The solution seamlessly integrated with Voxel's existing data pipelines, allowing their team to focus on their end product. By implementing Cord's platform, Voxel gained the ability to utilize advanced features to address safety and ergonomic concerns more effectively, significantly aiding their overarching mission to enhance workplace safety and operational efficiency.

Voxel