「深度原理」完成超亿元A轮融资，AI for Science持续突破

Core Insights - Deep Principle has completed over 100 million RMB Series A financing, led by AEF Greater Bay Area Fund and Ant Group, with participation from existing shareholders including Lenovo Ventures and Baidu Ventures [1] - The funding will accelerate the development of Agent Mira™ for materials discovery, advance the construction of the AI Materials Factory™, and deepen collaborations with leading domestic and international clients [1] Group 1: Technology Leadership - Deep Principle is founded by a team with a strong background from MIT, focusing on AI for Science, and has published groundbreaking diffusion models in top journals [4][7] - The company introduced OA-ReactDiff, a 3D chemical reaction diffusion model, achieving transition state structure predictions in 6 seconds on a single GPU, significantly reducing traditional quantum chemistry computation time [4] - The upcoming React-OT model, set for release in early 2025, is expected to reduce prediction time to 0.4 seconds and improve accuracy by over 25% [4] Group 2: Product Upgrades - The company has developed six algorithm modules integrated into the ReactiveAI platform, which has recently been upgraded to Agent Mira, capable of molecular design and chemical reaction prediction through natural language commands [6] - Agent Mira aims to transform materials research from "trial-and-error" to "intelligent design," facilitating the integration of advanced AI technologies into industry practices [6] Group 3: Commercialization - Deep Principle has secured over 10 million RMB in commercial orders within its first year, demonstrating significant market traction [9] - Collaborations with industry leaders like Shanhai Innovation and L'Oréal have led to the development of AI-driven platforms for materials prediction and optimization, resulting in reduced R&D cycles and improved accuracy [9] - The company is expanding its projects in sectors such as new energy and fine chemicals, continuously broadening its industry reach [9] Group 4: Strategic Initiatives - The company is launching the L4 High-Throughput Autonomous Lab, AI Materials Factory, to create a closed-loop system for materials discovery, integrating AI model predictions with experimental validation [10] - This initiative aims to enhance the efficiency of transitioning from model predictions to experimental applications across various strategic fields [10] - The recent financing will serve as a new starting point for the company to deepen the integration of technological innovation with industry needs, contributing to the advancement of global materials science [11]