The compound library is widely used in target validation and hit identification of drug discovery. In AiFChem, we have designed a virtual library with >20 million unique and synthesizable compounds. To overcome the current limitations of efficiency and the low success rate of delivery, we employ AI models capable of predicting Both the synthesizeability and the appropriate reaction conditions . The AI model, combined with our advanced automation platform, facilitates the efficient identification and synthesis of virtual library compounds.