Solutions
Revolutionize Claims Processing with AI
With AI-powered claims automation, you can now harness the latest advances in foundation models into your object detection and risk underwriting models. As the demand for real-time intelligence into understanding residential and commercial properties grows, it's essential for enterprises to maximize compliance and minimize operational costs. Labelbox empowers the world’s largest insurance companies to leverage AI solutions tailored to their unique claims processing challenges.
Customer spotlight
Liberty Mutual had previously built an in-house data curation and annotation tool, which posed challenges due how manual the platform was for collaboration and evaluation with human experts, hindering project scalability. The company adopted Labelbox which provided them with the ability to bulk classify their aerial property image assets and sped up what used to take a full quarter to now just a matter of days. In their words, “we were previously only able to classify and view single images but now we have the capability to manage our entire workflows on multiple assets. These productivity gains have helped us improve model performance and deploy production models a month and a half earlier faster than our original deadline.
Boost Claims Automation with Intelligent Insights
By analyzing high-volumes of images, videos and text, Labelbox provides valuable human-in-the-loop insights for claims detection processes to ensure underwriting risks, enabling insurance companies to make data-driven decisions that improve customer satisfaction, compliance and revenue.
Accelerate model development by 4x
Delivering claims automation 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 claims automation that leverage aerial images to identify risk areas such as roof damages, trees close to buildings, neighbor buildings close to each other, etc.
Find edge cases by rapidly curating unstructured data
Catalog eliminates the need to build your own traditional and vector database infrastructure. Build better claims automation and risk detection models by leveraging out-of-the-box search for images, text, videos, conversations, and documents across metadata, vector embeddings, and annotations.
Improve claims automation 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, as well as the latest techniques in red teaming, fine-tuning and human evaluation for LLMs.
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.