Case Study: OTTO Motors achieves rapid, high-quality dataset annotation for autonomous robots with Scale AI

OTTO Motors - Customer Case Study

OTTO Motors, an Ontario‑based developer of flexible industrial mobile robots for warehousing and manufacturing, faced a lack of publicly available datasets for indoor autonomous material‑handling systems and had to build training data from scratch. To solve this, OTTO partnered with Scale AI, using Scale 3D Sensor Fusion - Cuboid Annotation and Scale Image - Semantic Segmentation Annotation to label both 3D sensor data and camera imagery across diverse facility environments.

Scale AI provided on‑demand annotation services and tooling that handled OTTO’s varied data types and edge‑case needs, annotating data “at a pace far above” OTTO’s expectations while keeping annotation overhead reasonable. As a result, OTTO accelerated dataset production, improved robot reliability and accuracy in varied deployment sites, and freed senior autonomy engineers to focus on algorithm development — with Scale AI’s pipeline continuing to support ongoing corner‑case discovery and model generalization.

OTTO Motors

Nolan Lunscher

Senior Autonomy Developer