Solutions
Automate defect detection with AI
With AI-powered preventative maintenance, you can now utilize the latest advances in foundation models into your asset management and QA operations. As the demand for extending the lifespan of critical assets continues to rise, it's essential for enterprises to maximize precision and minimize operational and quality-related costs. Labelbox empowers the world’s largest enterprises to leverage AI solutions tailored to their maintenance challenges.
Customer spotlight
One of the largest oil and gas corporations in the world possesses vast amounts of unstructured data related to the current quality of their pipelines and other critical assets. This data, when refined and categorized, becomes essential for training preventative maintenance AI models. To maintain stringent privacy and transparency standards, the enterprise chose Labelbox to be their data-centric AI platform because of its user-friendliness, compatibility with their existing infrastructure, and robust data security. This allowed them to engage both internal and external labelers, adapt QA processes efficiently, and accelerate model development by 5x.
Boost quality control with intelligent insights and proactive responses
By analyzing high-volumes of images, videos and text, Labelbox provides valuable human-in-the-loop insights for manufacturing processes to ensure product quality, enabling industrial enterprises to make data-driven decisions that improve asset lifespan, safety and efficiency.
Accelerate development with 4x faster model training
Delivering defect detection AI goes beyond data collection — it's about iterative learning, evaluation, and enhancement. Labelbox provides the environment to train models 4X faster, allowing you to compare models across experiments, diagnose model errors, perform robust error analysis, and drive accurate AI outcomes. Create end-to-end workflows with Databricks and Vertex AI to ensure that your models are aligned with human-centric evaluations, guaranteeing trustworthy outcomes for your defect detection applications.
Enrich your data and automate common tasks with foundation models
Automate data labeling and augmentation tasks with Model Foundry. No-code data enrichment with leading closed-source and open-source LLMs at a fraction of the time and cost allows for rapid development of defect detection applications.
Find edge cases by rapidly curating unstructured data
Catalog eliminates the need to build your own traditional and vector database infrastructure. Build better defect detection models by leveraging out-of-the-box search for images, text, videos, conversations, and documents across metadata, vector embeddings, and annotations.
Improve defect detection with the world’s best data labeling teams
A collaborative human feedback platform to generate perfect data with internal experts and world’s most skillful data labeling services with expertise in computer vision and NLP.
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.