Blog

Product spotlight: Delivering high-quality data at scale for GenAI models

Check out our Q3 recap of what's new from Labelbox. We examine updates that improve GenAI model evaluation, deliver high-quality data at scale, and simplify human evaluations.

How the World Series Champions Texas Rangers built a winning team with AI and analytics

Learn how the Texas Rangers Baseball Club used text data to inform player drafting and trading decisions and build a team that secured their first World Series win in November 2023.

Labelbox joins Air Force’s $950 million JADC2 effort

Labelbox today announced it is one of the companies who have been awarded a $950 million ceiling indefinite-delivery/indefinite-quantity contract by the U.S. Air Force.

How VirtuSense built an AI data engine that dramatically increased model performance

Virtusense is the #1 fall prevention system in the world. To train and maintain their models, the team designed their data engine to automate nearly every aspect of the iteration loop.

How Deque uses data prioritization and model diagnostics to unlock AI breakthroughs in digital accessibility

Deque has developed a sophisticated data engine that’s capable of prioritizing the most performant classes of data, discovering model errors quickly, and fueling their iterations with high-quality data.

How Sharper Shape built a robust ML pipeline with Labelbox and Valohai

Learn how Sharper Shape currently utilizes Labelbox and Valohai to collaborate more efficiently and take advantage of both platforms to manage a mature and large-scale machine learning operation.

10 insights from the 2020 customer summit

On December 10th, we had the privilege to host the first Labelbox customer summit, featuring leaders from enterprises like Blue River Technology, Allstate, Orbital Insights, and more.