Case Study: Ultraleap accelerates hand tracking model lineage management with ClearML

Ultraleap manages 90+ hand tracking models at scale with ClearML

Ultraleap, a computer vision company creating hand tracking models for VR and XR devices, faced the challenge of managing the complex lineage for over 90 model variations trained on synthetic data. Their intricate workflow involved rapidly generating datasets, running augmentations, and packaging models for different hardware, which was difficult to track at scale. They chose ClearML's end-to-end machine learning platform, specifically its AI Development Center, to manage this complexity.

ClearML's solution provided orchestration integrated with Kubernetes for data simulation, automated tracking of configurations and generated data, and data management for building lineage from baseline datasets. This integration significantly sped up the research team's work and enabled faster throughput from ideation to product. Using ClearML's API also improved cross-team delivery of models and allowed for easy visualization and comparison of experiments.

Ultraleap