Customer use cases for machine learning across industries

The use cases for machine learning in enterprise are plentiful. See below for examples from the following industries: autonomous vehicles, insurance, robotics, drones, satellite imagery, retail, and science.

Autonomous Vehicles

Manage all of your labeling activities - including maps, images, video, LiDAR, and radar - on Labelbox. Speed to production by spending more time on the machine learning instead of internal tools and integrations with labeling services.


We serve the largest insurance companies with over $40 billion in combined direct premiums written. Use Labelbox to build and operate AI systems for claim adjustments, better cat risk predictions and reducing operating costs.


Build mission-critical vision and perception systems. Companies use Labelbox to inspect solar panels, identify welding defects, teach robots to perform surgery among many other use cases.

Drones & Satellite Imagery

Leverage purpose-built labeling tools and workflows for geospatial data. Drone maps and satellite imagery are often large and need to be processed into smaller chips for training models. Simplify this process by creating and storing annotations on your source data directly with native support for slippy maps (x,y,z) and WMS tile layers.


From product recommenders to inventory management robots, Labelbox has you covered. The future of machine learning enabled retail is here. Use Labelbox to simplify and scale your AI toolchain so you can focus on what your customers want.

Chem, Bio & Pharma

With AI-powered computer vision, companies are speeding up compound discovery, automating tests, and manufacturing innovative products at lower costs.

Medical Imaging

Give your own doctors and SMEs the best tools to annotate medical imagery. Effortlessly comply with HIPAA by choosing our Enterprise offering. Transition to production by building custom applications on top of Labelbox.


Join a growing community of teams building machine learning products

Leading research institutions, machine learning startups, and Fortune 500s alike are creating the right training data with Labelbox.

Labelbox is very well integrated as a part of our overall system design. Labelbox has helped us efficiently collect and analyze data through their strong infrastructure support. We’re able to get the labels we need for all different types of video and image analysis.

Stephen Krotosky
Manager, Applied Machine Learning

Read More

Labelbox has become essential to our process. It is the beginning of every single deep learning exercise we do. The only thing that comes before Labelbox is recording the data.

Gal Ozery
AI Product Owner, Genius Sports
Read More

Labelbox serves all of our training data needs. The team is very responsive and have provided exceptional support.

Daniel Rechsteiner
Imaging Technology Manager, Bayer

Labelbox has become the foundation of our training data infrastructure. Our data science teams create high quality labeled training data with our internal domain experts as well as external labeling services, all inside Labelbox. And, the support is exceptional!

John-Isaac "jC"​ Clark
CEO, Arturo AI

Start building production AI today.