Scale's Platform and products were developed by ML engineers for ML engineers to deliver large volumes of unbiased, highly accurate training data at speed.
We know that we wouldn't exist if it weren't for our customers and our entire team is dedicated to serving our customers with quality and throughput.
Learn how leading companies leverage the Scale platform to remove the data annotation bottleneck from the development of their incredible AI applications.
“One of the things we love about Scale is the fact that we can fully label the world [...] to understand as much as possible, including scenarios we don’t foresee today.”
“Scale has a team of very talented engineers who really understand the problems in training machine learning models, of data annotation, and of data quality.”
“Scale is basically providing the ground truth for our perception systems. It’s a very, very critical piece for us to develop.”
“We appreciate how the Scale AI team proactively seeks feedback and holds themselves accountable. Their QA team is careful and quick to seek clarification, and their attention to detail has produced some truly impressive results.”
“Scale is a critical part of our stack, providing both software & trained resources to label our LIDAR and camera data with extremely high quality. When the team comes to me with new projects, I’m always confident that Scale will meet our needs & timelines.”
“Scale AI proved to be a valuable data annotation partner for our City Operations Team, providing us high quality of training and validation data that helped us significantly improve the accuracy of our image classification models.”
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
Enterprise engagements include upfront and volume-based pricing and is the most cost-effective solution for high-quality labels.
Each customer is paired with a dedicated customer success engineer who ensures smooth integration and service.
We are honored to be trusted by world-class companies.