In Shandong, technology managers known as "sci-tech matchmakers" are upgrading their capabilities through AI platforms. The province now has more than 7,000 technology managers, who primarily work between universities and enterprises to clear bottlenecks in translating sci-tech achievements into real-world applications. In the past, supply-demand matchmaking relied largely on personal connections and visits; information matching was time-consuming and inefficient. With over 14 million private business entities, human effort alone could not cover the massive volume of demand.
Powered by the AI agent on the Spark Science and Technology platform of Shandong Science & Technology Innovation Group Co., Ltd., enterprises' technical pain points can be broken down and precisely searched across databases covering patents, experts, and enterprise needs, which reduces the matchmaking process that once took one to two years to just a few weeks. The platform brings together data on 10-million-yuan level enterprises, patents, policies, and experts, and coordinates with industrial chains to build a supply-demand matching model, bringing about a shift from "people looking for technology" to "technology finding people."
AI handles preliminary search and matching, allowing technology managers to focus on in-depth services such as project matchmaking, equity structure design, and capital connection. Under the province's three-year action plan for developing its technology manager workforce, 12,000 technology managers will be trained by 2028, and the "intelligent matching + technology manager matchmaking" model will be promoted.