Kern AI & Qdrant: Precision AI Solutions for Finance and Insurance
Blog post from Qdrant
Kern AI has developed a low-code platform that addresses inefficiencies in AI model development by allowing developers to analyze datasets and identify outliers using vector search, thus enhancing data accuracy and workflow efficiency. With a focus on the financial services industry, Kern AI has integrated large language models, such as GPT, to create accurate and secure Generative AI solutions. Partnering with leading insurers, Kern AI has implemented AI chatbots to streamline customer service processes, significantly reducing response times and improving customer satisfaction. Their open-source tool, Kern AI Refinery, is used to scale and maintain natural language data, and their collaboration with Qdrant has been pivotal, leveraging its multi-vector storage and search capabilities for improved data handling and retrieval. This partnership has led to substantial achievements, such as maintaining a hallucination rate of under 1% in chatbots and reducing customer service response times at Markel Insurance SE, showcasing the platform's impact on operational efficiency in the finance and insurance sectors.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 10 | 2,325 | 291 | 104 | +36% |
| LLM | 3 | 3,996 | 453 | 162 | -12% |
| RAG | 2 | 2,503 | 269 | 80 | +39% |
| AI Model Fine-tuning | 1 | 990 | 166 | 89 | -4% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.