Insurance

Insurance companies collect an abundance of data: geospatial imagery, cell-phone photos of vehicle damage, documents of medical records. Labelbox partners with insurers from every industry to turn this data into state-of-the-art AI and usher in a new era of increased efficiency, customer satisfaction, and growth.

Computer vision models trained on geospatial data enable insurance companies to assess risks and value for any area or property without human inspection. Labelbox provides native support for geospatial data across all products, empowering teams to visualize raw data, annotate data, update and curate location data for spatial analysis, and more.

Building AI-powered claims processing and adjustment systems for insurance companies presents big challenges: creating the MLOps infrastructure, the time and costs of labeling data, and slow iteration cycles. Labelbox offers full support for all modalities used in claims adjustment AI projects for insurers, as well a suite of solutions to improve model performance and accelerate time to market.

Train document processing algorithms that can get through thousands of of insurance documents in minutes with fast and easy PDF labeling tools. Labelbox also makes it easy to create human-in-the-loop workflows to ensure that AI-driven results are accurate and appropriate decisions are made in real time.

Large language models are increasingly used by insurers to transform recommendations, chatbots, risk assessments, and more. Labelbox provides an intuitive, state-of-the-art text labeling editor to accelerate and optimize the development of NLP-based AI.

Whether your AI team needs data labelers experienced with insurance AI projects, operations setup, training, or just extra support, the Labelbox team is ready to help.