Automate labeling with your own model
Model-assisted labeling from Labelbox is the fastest way to improve model performance. Reduce labeling costs by up to 50-70% with your own model.
Case Studies
How MIT researchers are using neural nets to automate manual tasks for novel serotonin research
Jungsoo Kim is a PhD graduate student at MIT’s Flavell Lab which focuses on cutting-edge neuroscience research. His team is currently exploring how computation and behavior emerge from neural circuits. Neurons, just like electronics, need to be properly wired in order to function well. Their project investigates how serotonin
Product Updates
Labelbox September updates
As we move into fall we have a new roundup of product improvements for you! Labelbox is now SOC 2 Type II certifiedWe are excited to announce that we have achieved full SOC 2 Type II security compliance as a part of our ongoing efforts to prioritize the security and
Case Studies
How Pathware is accelerating pathology by delivering AI-powered expert analyses
Learn how an innovative medical device company, Pathware, is leveraging a training data platform to more quickly iterate on high-quality ML data. Their mission is to ultimately simplify digital pathology workflows and save hospitals billions of dollars.
Case Studies
How Arturo builds AI-first products from the ground up to deliver insights for the $1.2 trillion insurance industry
Gareth Jones, data scientist at Arturo, recently spoke with our COO, Brian Rieger on how Arturo’s machine learning team built mature and complex AI-first products while juggling resource costs, data labeling and scalability as top priorities.