CrystalTai Technology (02228) AI autonomous experimental workstation is landing in Sinopec, creating a new benchmark of AI + material characterization intelligentization.

Recently, the leading global artificial intelligence (AI) + Siasun Robot & Automation drug and new material research and development platform JingTai Technology (02228) announced that the "Intelligent Physical/Chemical Adsorption Analysis Autonomous Experimental Workstation" jointly created with Sinopec (Shanghai) Petrochemical Research Institute Co., Ltd. and Beijing Jingwei Gaobo Instrument Co., Ltd. has officially started operation. It aims to drive chemical research and development with intelligent and automated material characterization, creating a key physical carrier and embodied intelligent base for the material discovery engine of "AI for Science" (AI4Science). For the first time in an industrial setting, it integrates high-throughput data collection for material characterization and autonomous decision-making experiments into the "AI + Siasun Robot & Automation + Multi-Agent" intelligent system, taking a crucial step towards Physical AI, laying the foundation for building an intelligent autonomous research and development system for materials that is "perceptive, actionable, and evolutionary." This achievement focuses on three core technological labels: fully unmanned autonomous experiments, native high-quality data loop, and modular intelligent base integrating software and hardware. This collaborative achievement transforms the high-frequency, essential, and heavily human-dependent process of material characterization from experience-driven manual operations to data-driven, AI decision-making industrial intelligent systems, achieving a significant increase in throughput, data accuracy, and experimental safety. Through this strong collaboration, a benchmark for the AI + material characterization industry has been created. In trillion-dollar industries such as petrochemicals, new energy, and environmental protection, precise material characterization is a key step in the research and development process that is high-frequency, essential, and heavily reliant on human labor and personal experience testing. Porous materials (such as molecular sieves, activated carbon, metal-organic framework materials, etc.) are widely used in petrochemicals as catalysts and adsorbent carriers, and their surface area, pore size distribution, and surface acidity determine the efficiency and selectivity of core processes such as catalytic cracking, hydrogenation, and gas separation, making them the "chips" of the petrochemical industry. Traditional characterization methods heavily rely on manual operations, resulting in low efficiency, low throughput, and inconsistencies in data due to differences in individual subjective experience and operations. These factors limit the effective feedback of massive experimental data into AI models, posing the biggest data bottleneck for intelligent research and development of new materials. In order to solve this problem, JingTai Technology, Sinopec (Shanghai) Petrochemical Research Institute Co., Ltd., and Jingwei Gaobo collaboratively constructed a synergistic innovation ecosystem from industrial problem definition, high-end instrument development to AI autonomous experiment full-process loop closure, transforming the analysis process traditionally dependent on intuition and experience into quantitative, repeatable scientific methods, directly addressing the core pain points of the industry. In this collaboration, Sinopec (Shanghai) Petrochemical Research Institute, leveraging its rich research accumulation and profound industrial scene understanding in petrochemicals, accurately identified the high-throughput, high-precision, and high-safety industrial core requirements, and provided real and rigorous validation scenarios; Jingwei Gaobo, as a leading domestic enterprise in physical/chemical adsorption instruments, created a high-precision analytical instrument hardware base with "precision sensory" for the workstation, ensuring the accuracy and reliability of AI autonomous experimental data; JingTai Technology, as a benchmark enterprise in the field of AI for Science, injected "AI brain" into the collaboration and equipped it with Siasun Robot & Automation autonomous operation capabilities. Relying on the closed-loop intelligent system of "AI + Siasun Robot & Automation + Multi-Agent," the three parties innovatively cooperated deeply, setting a new benchmark for material characterization in the industry. Driven by AI, autonomous experiments reshape the core paradigm of material characterization This workstation, with AI as its core, integrates the flexible and scalable Siasun Robot & Automation experimental workstation into intelligent algorithms to standardize experiments, forming an "integrated software and hardware" intelligent system that achieves full-process unmanned closed-loop operations from sample processing to data analysis, empowering AI for Science to establish a "high-quality data foundation" for materials science: High-throughput autonomous experiments: The workstation supports intelligent expansion of multi-channel physical/chemical adsorption modules, autonomously assigning tasks under AI unified scheduling, achieving 24/7 unmanned continuous operation, significantly increasing the daily average sample processing volume by orders of magnitude, freeing researchers completely from repetitive labor. Native high-quality data loop: Siasun Robot & Automation operation standardizes experiments, fundamentally eliminating human errors. The system integrates with core intelligent algorithms, ensuring the ultra-high consistency and reproducibility of data, providing high-quality data support for AI model training, making every set of data traceable and reusable. Inherent safety and intelligent analysis: Unmanned operation significantly reduces operational risks such as liquid nitrogen contact in traditional experiments, enhancing the intrinsic safety of the laboratory. The system can also automatically complete data analysis, result normalization, and trend modeling, laying a foundation for the digitization and intelligent transformation of material research and development. This system is developed based on JingTai Technology's mature and customizable AI autonomous experiment platform, which has more than 30 functional modules that can be flexibly combined and has been recognized by over 300 top global enterprises and research institutions. Building a data cornerstone, driving the industry towards Physical AI The "Intelligent Physical/Chemical Adsorption Analysis Autonomous Experimental Workstation" achieves complete capture and structured precipitation of experimental data through full-process digitization and autonomous operation for the first time, transforming dispersed and perishable personal experiences into accumulable and reusable data assets. Its significance lies not only in the efficiency improvement at a single point but also in providing high-quality "data fuel" for AI models that can understand and act on the physical world, enabling rational design of materials to truly discover structure-function relationships from massive experimental data and form a closed-loop evolutionary capability of "experiment-data-model-prediction." The responsible person for business at Sinopec (Shanghai) Petrochemical Research Institute Co., Ltd. stated: "This intelligent workstation, with the combination of AI and autonomous experimental technology, has introduced a new research paradigm for catalyst development, achieving significant improvements in efficiency and data accuracy, and providing a new research paradigm for exploring high-performance, low-energy consumption catalysts, thereby helping the industrial green and low-carbon transformation under the 'dual carbon' goal, and serving as a benchmark practice for the intelligent transformation of chemical research and development." The responsible person for automated innovation at JingTai Technology stated: "This is a significant breakthrough for AI for Science in the petrochemical industry. We are building a research infrastructure that allows AI to continuously generate, digest high-quality data, and drive self-iteration. Starting from this point, this model will expand from adsorption characterization to more extensive material research scenarios, driving material research from 'experience-driven' to 'data-driven, intelligence-driven,' empowering the primary innovation of more industries." The responsible person at Beijing Jingwei Gaobo Instrument stated: "This collaboration is a model of the integration of domestic instruments with AI autonomous experimental technology. We will continue to enhance the intelligence level of our products, providing a more complete material characterization digital solution for global users." In the future, JingTai Technology will continue to deepen the AI for Science platform technology, driving material research from empirical exploration to deeper mechanistic understanding and rational design, continuously refining the core research flywheel of AI models, large-scale Siasun Robot & Automation laboratories, and Multi-Agent, accelerating the comprehensive intelligent upgrade of material research in China, injecting sustainable energy into serving the national strategy of building a technology strong country and the high-quality development of the industry. About Sinopec (Shanghai) Petrochemical Research Institute Co., Ltd. Sinopec (Shanghai) Petrochemical Research Institute is a comprehensive petrochemical research institution directly under China Petroleum & Chemical Corporation group, dedicated to technical research and industrial application in petrochemicals, synthetic resins, synthetic fibers, catalysts, etc., providing core support for the technical progress and industrial upgrade of China Petroleum & Chemical Corporation. About Jingwei Gaobo Jingwei Gaobo, established in 2004, has its headquarters and research center in Beijing, production base in Tianjin, and subsidiaries in the United States and Germany. It is a scientific instrument manufacturing enterprise that deeply cultivates the global market. The company's products cover adsorption instruments, thermal analyzers, X-ray diffractometers, and reaction units in critical areas. As an innovative driver in the global field of material analysis instruments, Jingwei always adheres to the mission of "providing high-quality, easy-to-use, and cost-effective advanced measurement instruments for the research and manufacturing of new materials," continuously exploring cutting-edge technologies in material characterization, accelerating technological iteration, and providing diversified product and service solutions for global customers. About JingTai Technology JingTai Technology ("XtalPi Holdings Limited," stock abbreviation: XTALPI, stock code: 02228) was founded by three physicists from the Massachusetts Institute of Technology in 2015. It is an innovative research and development platform based on quantum physics and empowered by artificial intelligence and Siasun Robot & Automation. The company combines first-principles calculations based on quantum physics, artificial intelligence, high-performance cloud computing, and scalable and standardized Siasun Robot & Automation automation to provide research and development solutions and services in drug and material science (including agricultural technology, energy, new chemicals, and cosmetics) for global and domestic companies.