Red Bear AI has completed its Pre-A round of financing. It enters the enterprise service market with AI customer service and promotes the commercialization of memory science.
Recently, Red Bear AI (Shanghai Suanmo Suanyang Technology Co., Ltd.) announced the completion of its Pre-A round of financing. Led by Gerui Feng Investment, Chen Yongchao, the chairman of Huayu Venture Capital and an angel investor in the company, participated in the follow-on investment. After the investment, the company's valuation reached 500 million yuan, with TSN Capital serving as the financial advisor. The raised funds will be mainly used for the commercialization of memory science products, the R & D of the AI agent platform, and market expansion.
Founded in 2024, Red Bear AI has its headquarters in Shanghai and Hangzhou. The company uses AI customer service as its business entry point to build an intelligent customer interaction and marketing service platform. Its goal is to expand into areas such as AI education and AI marketing and promote its products overseas. The core technologies of Red Bear AI are the multi-modal large model development middleware and memory science. Wen Deliang, the CEO and chief scientist of Red Bear AI, has previously served as the vice president, CTO, and CIO of Internet and industrial groups such as Alibaba, Panshi, and Fosun. He has over 10 years of experience in the development of the Internet digital intelligence field and the delivery of digital transformation projects. In recent years, he has focused on the research and development of large model technologies. The core members of the team have R & D and management experience in areas such as artificial intelligence, large models, and enterprise-level applications.
Wen Deliang, the CEO of Red Bear AI, believes that memory science is the core for promoting the commercialization of AI agents. He said that the complexity of enterprise-level AI customer service and marketing scenarios requires the platform to not only have strong semantic understanding capabilities but also achieve continuous memory of users' historical behaviors and multi-round conversations. Traditional large models are often limited by the context window in practical applications, prone to forgetting key business information, leading to service disruptions and knowledge silos. Through its independently developed multi-modal large model and memory science technology, Red Bear AI can dynamically integrate enterprise private knowledge, industry data, and historical work orders, connect multiple channels such as APPs, mini-programs, telephones, and social media, and significantly improve conversation continuity and personalized services.
Red Bear's product technology R & D system
Red Bear AI adopts diversified business models such as "Model as a Service" (MaaS), private deployment, and SaaS subscriptions to serve customers in multiple industries, including operators, cultural and tourism hotels, e-commerce, and banking and insurance. It supports both full Agent service hosting and the integration of human + Agent. After transferring to human service, the human operator can re - host the conversation to the robot, achieving human - machine collaboration. Wen Deliang said that if the full AI hosting model is compared to a new energy vehicle, human service is like a fuel - powered vehicle, while Red Bear AI's human - machine collaboration model is like a hybrid vehicle. It can not only reduce labor costs but also prevent problems such as a decline in professionalism or incomplete consultation information caused by the inability of AI to intervene in the conversation after transferring to human service.
Red Bear's commercialization scenarios
At the business level, the Red Bear AI platform covers multiple scenarios such as AI customer service, intelligent marketing, and work order management, supporting full - channel access, active customer acquisition by Agents, and business automation closed - loop. Taking the cooperation with an operator as an example, Wen Deliang provided the following data: During the service process for this customer, Red Bear AI achieved a self - service resolution rate of up to 98.4%, an answer accuracy rate of 99%, a model hallucination rate of less than 1%, a business response completeness rate of 100%, and a cost - reduction rate of up to 40%. Through commercial cooperation with the four major operators and more than a hundred enterprises, Red Bear AI has completed industry verification and achieved commercial revenue. Since 2025, the company has signed contracts worth nearly 60 million yuan. The performance target for 2025 is 130 million yuan, and the operating profit margin is expected to exceed 13%. In the future, Red Bear AI will accelerate its layout in overseas markets.
According to previous reports by 36Kr, AI has achieved rapid deployment in areas such as customer service, debt collection, and questionnaires. In the domestic AI customer service market, there are already intelligent customer service providers such as NetEase Cloud Business (Qiyu), Tianrun Rongtong, Ronglian Qimo, Wolong Technology, and Zhichi Technology. It is reported that Ant Group is also actively deploying in the field of AI customer service and recently established "Digital Ma Li" to provide AI customer service for merchants. Currently, in the AI to B field, in addition to AI customer service, enterprises are actively deploying from various perspectives. SaaS is already a thing of the past, and AI to B is the next new battlefield in the enterprise service field.
Investors' viewpoints
Gerui Feng Investment believes that as first - time investors, they pay more attention to evaluating the target enterprise from the dimension of differentiated value. The core competitiveness of Red Bear AI lies in its unique development path of "in - depth technology + scenario closed - loop" in the enterprise - level AI service track. Instead of chasing the traffic dividends of general large models, it focuses on the real pain points in vertical industries. Through the combination of "multi - modal large model + memory science" technology, it transforms abstract technical capabilities into process - based solutions that customers can directly reuse.
Chen Yongchao believes that as an investor who has accompanied Red Bear's development for a long time, the core reason for his decision to continue investing in this round is that the company's business has achieved a substantial leap from the technology verification stage to large - scale commercial implementation. The product matrix it has built, including "private deployment + SaaS platform + subscription service", not only consolidates the current business foundation through customized services but also breaks through the ceiling of large - scale growth with a standardized subscription model. This development path of "in - depth exploration of industry pain points + flexible adaptation to needs" has successfully transformed technological value into commercial value recognized by customers.