Case Study: Global Insurance Company achieves scalable AI data labeling with Kili Technology

Insurance Transforming car damage assessment in auto-insurance claim process

Kili Technology works with a variety of leading organizations to build high-quality AI datasets. Customers like LCL Bank, Covea, and Eidos-Montréal faced challenges in processing massive volumes of unstructured data, including documents, customer comments, and reviews, to gain actionable insights and achieve regulatory compliance.

By implementing Kili Technology's data labeling platform, these customers achieved significant results. LCL Bank automated KYC processes in weeks instead of months, Covea transformed millions of customer comments into business intelligence, and Jellysmack scaled its AI performance 5x. Kili Technology enabled these outcomes by providing a scalable and reliable solution for data annotation, leading to increased accuracy, faster model deployment, and reduced project overhead.