Covea, a leading insurance company, used Kili Technology to transform unstructured 1.5M customer verbatim, gaining insights to enhance their services. Thanks to the versatility, efficiency, and security of Kili Technology, Covea is now able to go beyond its initial use case and expand the scope to 9 more complex projects and automate their processes.

A global insurance company aimed to simplify the steps of processing insurance claim forms, at scale. Learn how they were able to save time, costs, and effort thanks to Kili Technology's powerful UX and quality workflows to train their model with the highest-quality dataset. 

"What once took ages, we made it real-time. We keep on getting positive feedback from customers." 

Learn how Kili Technology provided an end-to-end solution to empower an international auto insurer's damage and costs assessment model. Their AI division team was armed with Kili's user-friendly data labeling tool, powerful API, automated predictions, and experts in the field.

What is unstructured document layout analysis? How unstructured document impact the training process of your ML model? Here are your answers.

Large Language Models for named entity recognition are a powerful tool that can save time and resources. Learn how to leverage the power of pre-trained language models with appropriate prompt design to perform NER on any named entity category without requiring task-specific training data.

To create effective machine learning models, it's crucial to have high-quality data with a strong image annotation process. However, maintaining data quality can be challenging due to growing complexity and volume. Check out our guide for top-notch dataset creation best practices.

In our latest webinar recap: learn how insurance companies overcome training data challenges to ship their models faster.

Text annotation is widely used in organisations to solve NLP tasks for machine learning models. Learn more about text annotation in machine learning and how to employ the tool for better productivity!

Even with the advancements in AI, information extraction remains fraught with challenges. In this article, we will tackle the challenges of information extraction and the possible solutions to overcome them.