Empower your customers to bring AI-generated content to life using the latest advances in foundation models. To develop these products, models need to be fine-tuned and trained with high-quality training data in order to generate the most relevant and compelling results.
Accelerate generative AI product development to enable higher levels of creative collaboration and turns your customers' ideas into reality with greater speed and efficiency than ever before.
Labelbox empowers AI teams to build generative AI applications that combine data curation, AI-assisted labeling, and model training integration & diagnostics, all in one platform.Learn more
Generative AI applications take shape in multiple data formats — text, image, video, and audio. No matter where your data is hosted, Labelbox lets you explore and organize all of your diverse data formats and metadata in one user-friendly catalog. Identify trends and search your catalog for data with similar characteristics with few shot classification and bulk classification.Learn more
Rather than manually sifting through, identifying, and labeling hundreds of thousands of examples, preserve your time for triaging issues that require human review. Use Labelbox’s model-assisted labeling to rapidly turn model predictions into new, auto-labeled training data for perfecting your generative AI use cases.Learn more
Generative AI applications are tasked with identifying and generating high-volumes of content that meet the creativity of your end users. Labelbox supports nuanced nested classification to help you properly identify and create the right ontology for your machine learning projects.
Whether your AI team requires operations setup, training, or data labelers experienced with generative AI data in your industry, Labelbox is ready to give your team the expertise you need that meets your requirements.
Technology and software
How a Fortune 500 creative software company improved the speed of their AI development by 50%
This team previously spent many engineering cycles building out their own training data infrastructure, which meant project delays and siloed AI development efforts among disparate groups who were looking to find what data was available for ML use.
Labelbox Catalog & Annotate. Using a variety of native editors and the Labelbox Boost workforce, the enterprise has dramatically streamlined their end-to-end worfklows for identifying and collaborating on training data.
Multiple divisions at the enterprise now leverage Labelbox for PDF, video, text, and image annotation and the Research team has improved labeling quality and sped up their labeling operations by 50%.
How a leading AGI research company accelerated their content moderation capabilities to launch their AI-powered product
Technology and software
How Burberry harnesses Labelbox and Databricks to curate their strategic marketing assets
Retail and ecommerce