Case Study: Kern AI achieves faster, more accurate insurance support with Qdrant

Kern AI & Qdrant Precision AI Solutions for Finance and Insurance

Kern AI, a company specializing in data-centric AI solutions, faced a challenge with insurance support teams spending excessive time locating information in complex contracts to answer customer queries. To improve efficiency, they partnered with the vector database vendor Qdrant to enhance their internal AI chatbot.

The solution implemented by Qdrant provided Kern AI with multi-vector storage and hybrid search capabilities, enabling more precise data retrieval. This integration resulted in exceptional accuracy, maintaining a hallucination rate under 1% for their chatbot. For their customer Markel Insurance SE, this translated to a dramatic reduction in average response times from five minutes to under 30 seconds, significantly improving customer satisfaction and operational efficiency.

Kern AI

Johannes Hötter

Co-Founder and CEO