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The Intelligent Research system uses specialized agents (financial, qualitative, technical) and advanced models like GPT Research to provide in-depth analysis of stocks, commodities, bonds, and other assets. The results offer buy, hold, or sell recommendations and are utilized in three main areas: Robo Advisor, Asset Analysis, and Human Analyst support. The goal is to assist investors by providing smart insights and saving time.

The AI revolution, powered by transformer architecture, LLMs, and Langraph, enables fully automated investment organizations. AI agents handle tasks like asset allocation, selection, and rebalancing, offering hyper-personalized portfolios. Users interact with intelligent advisors, while QC agents ensure accuracy. This eliminates inefficiencies, speeds up processes, and overcomes robo-advisor limitations like lack of personalization and delayed rebalancing, revolutionizing wealth creation.