Korean AI startup Weavel has been selected for Y Combinator’s S24 batch in the United States, securing follow-up investments. Only six months after receiving its initial investment from Krew Capital, Weavel has attracted further funding.

Established in November 2023, Weavel is developing a data analysis platform specifically tailored for products based on large language models (LLMs), beginning with conversational interfaces. Companies utilizing LLM-based products can leverage Weavel to identify key factors affecting user conversion and retention, make data-driven decisions, and reduce the time spent on improving prompts, fine-tuning, and building datasets.

Currently, Weavel is expanding its initial customer base through strategic integration partnerships with enterprise AI chatbot platforms like Voiceflow and Botpress.

Y Combinator’s S24 batch program, known for its competitive selection process, is conducted biannually to support and nurture early-stage startups. The program is valued for offering practical feedback from experienced and successful entrepreneurial partners.

With its selection, Weavel plans to further enhance its data analytics platform with comprehensive support from Y Combinator and aggressively pursue new clients in the United States.

Weavel’s CEOs, Park Jun-young and Jung Soon-ho, commented, “LLM and generative AI are driving disruptive innovations across numerous industries, yet the processes from analyzing user experiences to enhancing performance are highly inefficient for products based on these technologies. Starting with investments from Y Combinator and Krew Capital, we are building a platform that will enable companies developing LLM-based products to accelerate their growth tenfold.”

The co-founders of Weavel were motivated to start the company after facing challenges firsthand while creating LLM-based AI services. Co-CEO Park Jun-young is a graduate from the Department of Computer Science at Seoul National University, and co-CEO Jung Soon-ho is a current student in the Electrical and Information Engineering Department at the same university. They first met at an AI conference and in 2023 launched approximately ten LLM-based AI services and co-authored a paper on efficient LLM fine-tuning methods. Co-founder Jung Hyun-ji studied data science at UC Berkeley and previously developed conversational AI-based data analytics services at Chartmetric.