XtalPi Wins National First Prize for Data-Driven R&D Innovation and Files IPO Prospectus

Recently, the national finals of the 2025 "Data Element ×" Competition, hosted by the National Data Administration, were successfully held. After strict evaluation by experts, notarization by public notaries, and on-site supervision by representatives from relevant ministries,XtalPi（2228.HK）Standing out from 22,000 participating teams across China, the project "AI + Automation Technology Empowering Drug R&D Data Element Construction and Application" won the first prize.

Dr. Jian Ma, Co-founder and CEO of XtalPi

Lead the team to participate in the final evaluation and defense of the national finals in China

The 2025 "Data Element ×" Competition, hosted by the National Data Administration in conjunction with the Central Cyberspace Administration, the Ministry of Industry and Information Technology, and 19 other departments, is a national-level event focused on the development and application of data elements. It aims to advance the marketization and valorization of data elements, fully leveraging the positive role of the "Data Element ×" Competition in setting benchmarks, enhancing quality, and promoting development.

This competition, themed "Data Empowerment, Ascending through Multiplication," focuses on innovative applications of data elements across 13 industry sectors including industrial manufacturing, modern agriculture, and commerce circulation, while also featuring open innovation and international tracks. Since its launch in April, participants from all 31 provinces (autonomous regions and municipalities) in China have been involved.Together with the Xinjiang Production and Construction Corps, regional qualifying rounds were carried out enthusiastically. It is reported that this year’s competition saw over 22,000 teams register nationwide. After provincial contests, nearly 900 projects were submitted for the national finals. Following initial and final evaluations in the national finals, projects were comprehensively scored based on advancement, effectiveness, and demonstration, ultimately awarding 183 winning projects.

● Data-Driven R&D Transformation in the Industry, AI Empowers Thousands of Industries

From general artificial intelligence that impacts human production and life, to super artificial intelligence that empowers various industries and drives the transformation of scientific research paradigms, high-quality industry datasets are crucial.

New drug research and development is a typical application scenario for advanced artificial intelligence, as well as a high-value area where technological innovation and industrial innovation are deeply integrated. However, the implementation of AI in the biopharmaceutical industry faces serious data bottlenecks. The acquisition of high-value knowledge relies on expensive overseas platforms; experimental data lacks standardization, negative samples are missing, cross-domain heterogeneity is severe, and the data volume is insufficient. The application of large models further amplifies the demand for high-quality, standardized, and scalable data. Therefore, high-quality vertical datasets are crucial for the advancement of advanced artificial intelligence in the field of drug discovery.

XtalPi has built a high-quality data infrastructure that integrates cutting-edge technologies such as artificial intelligence, robotic experiments, and simulation computing — constructed using large language models and more.AI Agent, process massive patent data, collecting, cleaning, and labeling information from publicly available patents, academic databases, and other open data sources; utilizingAI Autonomous Laboratory, leveraging robotic technology to complete R&D experiments with high throughput and collect data, enabling large-scale production of experimental data; utilizingSimulation Computing Platform, leveraging proprietary physical models and other computational simulations to generate microscale simulation data, producing large-scale computational data. This ultimately forms a self-evolving closed loop of "data collection - production - algorithm training - experimental validation - data feedback," providing the industry with high-quality R&D datasets and algorithmic models.

XtalPi's Large-Scale Offline Deployment of AIRobot Experiment Workstation Cluster

Based on the data infrastructure capabilities for large-scale implementation, the company has independently developed and built an industry-leading intelligent autonomous experimentation platform. It has also deployed a high-throughput robotic experimentation workstation cluster offline. Meanwhile, it has created a series of AI-powered pharmaceutical R&D digital intelligence products, including PatSight. In particular, some AI and physics models trained on datasets have achieved good results in real-world experimental validations.

XtalPi Uses AI-Driven Autonomous Labs to Build High-Quality Industry Datasets, Develop Practical Products and Solutions, and Drive the Transformation of R&D Paradigms in the Pharmaceutical Industry. The R&D processes in pharmaceuticals share common underlying logic with fields such as chemical engineering, materials science, and energy, making data construction methods replicable. Leveraging its deep expertise and industrial accumulation in the biopharmaceutical sector, XtalPi has expanded its industry coverage to include new materials, chemical engineering, and renewable energy.

XtalPi's relentless pursuit of original innovation has always been at the forefront of tackling key core technologies. It continues to explore high-value scenarios that deeply integrate technological innovation with industrial innovation, building new productive forces together, supporting the construction of Digital China, and promoting high-quality industrial development.