Case Studies
How AI leaders partner with SwarmLearn
SwarmLearn works side by side with customer teams to deliver high-quality data that improves model performance. See the results.
Walmart improved search across 2.5M+ products globally at scale
Annotated product images and attributes across 2.5M+ SKUs to boost search and recommendation model accuracy and reduce false negatives in production.
PolyPerception scaled waste object labeling with 99% quality
Annotated millions of waste objects using instance segmentation and classification to improve PolyPerception's visibility models at scale.
Volumental delivered production shoe sizing with 97.8% accuracy
Delivered pixel-precise 3D foot scan annotations handling shadows and low contrast to power Volumental's mobile foot scanning models.
Indoor Robotics reliable object detection for autonomous drones
Tagged RGB security footage to identify people and doors with high accuracy, strengthening Indoor Robotics' object detection models for autonomous deployment.
Major automotive OEM scaled ADAS perception pipeline
Delivered multi-sensor annotation for LiDAR, radar, and camera data across diverse driving conditions to train next-generation ADAS perception models.
Agricultural drone company improved crop detection by 35%
Annotated aerial imagery for crop type classification, pest detection, and yield estimation, enabling precision agriculture at scale.