LayerNext

What is LayerNext?

LayerNext is an end-to-end platform for managing data in computer vision projects. It serves as a central hub for collecting, organizing, labeling, and searching large volumes of computer vision data.

The platform has three core components:

• DataLake – central storage for all AI data, from raw images and videos to processed data and model results, with a built-in viewer for visualization
• Annotation Studio – image and video labeling at scale
• Dataset Manager – organizing training datasets and tracking versions

LayerNext also includes built-in analysis tools, integrations with other applications, and self-hosting options. It is built with compliance in mind, adhering to regulations such as HIPAA and GDPR, and can be customized to fit specific workflows. The goal is to improve team productivity and collaboration while keeping data secure.

Who created LayerNext?

LayerNext was started by a team of AI enthusiasts and experienced software engineers. The company aims to provide easy-to-use AI tools that help businesses perform better, with a vision of AI handling routine tasks so people can focus on more challenging and creative work.

What is LayerNext used for?

Typical uses include:

• Organizing and sharing large datasets across a team
• Comparing the performance of different models or datasets
• Storing metadata and labels securely
• Connecting with computer vision and third-party applications
• Accessing pipeline processes
• Reducing manual effort in data handling

Who is LayerNext for?

LayerNext targets professionals in industries including retail, agriculture, healthcare, and construction — essentially any team that needs to manage large amounts of computer vision data.