Recently, at the "Intelligent Manufacturing Evolution, Global AI - Meiqing AIGC3.1 and Intelligent Factory Solution Conference", Meiyun Intelligent Data officially launched the R&D AI intelligent agent solution for R&D scenarios. This solution deeply integrates industry knowledge, enterprise data and large models to form a set of implementable, iterable, and auditable intelligent systems. It focuses on the entire closed loop of "understanding-retrieval-reasoning-generation-verification-leaving" to help enterprises achieve a systematic leap in improving R&D quality, reducing costs, and increasing efficiency.
As product iteration accelerates, technical paths become increasingly complex, and cross-system collaboration becomes more intensive, research and development is entering the era of "complex systems": problems such as scattered data, difficulty in knowledge reuse, time-consuming project reports and logic verification, and reliance on personal experience in process design have become increasingly prominent. At the industry level, AIGC and AI agents are moving from experiments and demonstrations to large-scale applications in core processes such as engineering, manufacturing, and supply chains.
