Solutions
Enhance brand safety and content moderation with AI
Labelbox lets businesses build state-of-the-art AI solutions for enhanced controls, transparency, efficiency in content moderation, and greater brand safety.
Through efficient data exploration, foundation model-assisted enrichment, and model evaluation, organizations can quickly build more accurate AI systems for analyzing user behavior, detecting disinformation, and enhancing ad-targeting.
Customer spotlight
A leading digital media measurement and analytics services company was looking for solutions to moderate inappropriate posts on platforms like Facebook, Snapchat, and TikTok. They partnered with Labelbox to swiftly develop models using high-quality training data, enhancing safety on social media from unsuitable content. Their ML team can now efficiently detect harmful content, empowering less technical staff to manage vast manual data tasks. Their flagship "brand safety" product now quickly identifies alcohol and drug-related content, streamlining post curation at 4x the speed.
Elevate brand trust
Swiftly sift through and curate datasets with a centralized data catalog and minimize manual overhead with vector and similarity searches, ensuring consistent brand safety. Protect your brand image while drastically reducing curation costs. Monitor and update policies quickly with foundation model-enabled detection and human-in-the-loop verification.
Cut manual labeling costs by over 65%
Maximize outcomes while lowering costs with Labelbox. Pre-label data rapidly and automate data tasks with foundation models using Model Foundry. Adaptive workflows improve data quality, ensuring that content always resonates with brand ideals.
Build scalable content moderation
To ensure brand safety, businesses require scalable content moderation tools. Labelbox enables accelerated model training, seamless human & AI evaluation, and automatic error analysis. Flexibly use industry-leading foundation models or plug in your own custom models for tasks. Organizations can adapt swiftly to changing user needs and brand standards and ensure that content remains compliant.
Why Labelbox
Accelerate AI alignment
Combine model assisted labeling and human expertise to quickly prepare data for training, testing and validation.
Evaluate
Rapidly integrate data, create quality training data, and deploy models to production.
Generate high quality datasets
Optimize custom labeling and review workflows to ensure the highest quality data for model training and fine-tuning.
Maintain data privacy & security
Keep full ownership, transparency, and control over your data throughout the AI development process.