BetterYeah AI Raises Over $14 Million in Series B, Backed by Alibaba Cloud

　　AsianFin -- BetterYeah AI, a Chinese enterprise-focused AI agent development platform, has raised over $14 million in a Series B funding round, marking the largest single disclosed investment to date in China’s AI Agent sector, according to sources familiar with the matter.

　　The round was led by Alibaba Cloud, with participation from Mingchuan Capital. Yuanshi Capital acted as the exclusive financial advisor. The funds will be used to accelerate the development of BetterYeah AI’s next-generation intelligent agent products.

　　Operated by Bar-headed Goose Intelligent Technology Co., Ltd., BetterYeah AI was founded by Zhang Yi , a founding member and former Vice President of DingTalk. Co-founders Huang Wen and Huang Zhongkun , who serve as COO and CTO respectively, also come from DingTalk’s original core team, bringing strong enterprise product expertise.

　　Since 2023, the company has rolled out two major platforms: AI Flow and an AI Agent development suite, designed to provide end-to-end infrastructure for building and deploying enterprise-level intelligent agents.

　　Key features of the platform include a visual development framework, multi-agent task collaboration, a proprietary VisionRAG engine for data accuracy and cost optimization, and comprehensive enterprise-grade LLMOps capabilities. It also offers flexible deployment options across SaaS, hybrid cloud, private cloud, and on-premise appliances.

　　BetterYeah AI currently supports nearly 100,000 enterprise teams, with monthly AI task volume increasing 400-fold. Clients include major brands such as Lenovo, Belle, Ecovacs, Tineco, Supor, Luhua, and FESCO Adecco.

　　At Belle Fashion Group, the platform powers over 800 AI nodes across merchandising and in-store operations. For Tineco, it reduced AI customer service training time by 75% and improved efficiency by a factor of 22.

　　The company plans to launch its next-generation intelligent agent platform in the third quarter of this year, aiming to deliver more autonomous, collaborative AI digital colleagues capable of complex task planning and execution across enterprise workflows.