First prize in the national competition, Jingtai Technology is once again recognized for its data-driven research and innovation capabilities

Recently, the national finals of the 2025 "Data Element X" competition, hosted by the National Data Administration, were successfully held. After strict evaluation by experts, notarization by notaries, and on-site supervision by representatives of relevant departments,Jingtai Technology（2228.HK）Standing out from 22000 participating teams nationwide, the project "AI+automation technology empowers the construction and application of drug research and development data elements" won the first prize.

Dr. Ma Jian, co-founder and CEO of Jingtai Technology

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

The "Data Element X" competition in 2025 is hosted by 19 departments including the National Data Administration, the Cyberspace Administration of China, and the Ministry of Industry and Information Technology. It is a national level event that focuses on the development and application of data elements, aiming to promote the market-oriented value of data elements and fully leverage the positive role of the "Data Element X" competition in setting benchmarks, improving quality, and promoting development.

The theme of this competition is "Empowering Multipliers with Data", focusing on the innovative application of data elements in 13 industries including industrial manufacturing, modern agriculture, and commercial circulation, and setting up open innovation and international tracks. Since the start of the competition in April, 31 provinces (autonomous regions, municipalities directly under the central government) across the country have participatedAnd Xinjiang Production and Construction Corps carried out local sub competitions in full swing. It is reported that this year's competition has more than 22000 national application teams, and nearly 900 projects were submitted to the national finals through provincial competitions. After the preliminary and final evaluation of the national finals, 183 winning projects were finally selected from the comprehensive score of progressiveness, effectiveness, demonstration and other aspects.

●Data driven industry R&D transformation, artificial intelligence empowers thousands of industries

From general artificial intelligence that affects human production and life, to super artificial intelligence that empowers thousands of industries and drives paradigm shifts in scientific research, high-quality industry datasets are crucial.

New drug research and development is a typical application scenario of super artificial intelligence, as well as a high-value scenario for the deep integration of technological innovation and industrial innovation. However, there are serious data bottlenecks in the landing and application of AI in the biopharmaceutical industry. High value knowledge acquisition relies on expensive overseas platforms; Inconsistent experimental data standards, missing negative samples, severe cross domain heterogeneity, and insufficient data volume; The application of large-scale models has further expanded the demand for high-quality, standardized, and scalable data. Therefore, high-quality vertical datasets are crucial for the development of super artificial intelligence in the field of drug research and development.

Jingtai Technology has created a high-quality data infrastructure that integrates cutting-edge technologies such as artificial intelligence, robot experiments, and simulation computing - built using big language models, etcAI agentProcessing massive amounts of patent data, collecting, cleaning, and annotating information from publicly available data such as patents and academic databases; utilizeAI Autonomous LaboratoryUtilizing robotics technology to conduct high-throughput research and development experiments, collect data, and produce experimental data on a large scale; utilizeSimulation computing platformBy utilizing proprietary physical models and other computational methods to simulate micro simulation data, large-scale production of computational data is achieved, ultimately forming a self evolving closed loop of "data collection production algorithm training experimental verification data reflux", providing the industry with high-quality research and development datasets and algorithm models.

Jingtai Technology's offline large-scale deployment of AI robot experimental workstation cluster

Based on the capability of large-scale implementation of data infrastructure, the company has independently developed and built an industry-leading intelligent autonomous experimental platform, and deployed a cluster of high-throughput robot experimental stations offline. At the same time, it has also created a series of AI drug development digitalization products, including PatSight, especially some AI and physical models trained on datasets, which have achieved good results in real-world experimental verification.

Jingtai Technology utilizes AI independent laboratories to build high-quality industry datasets, form landing products and solutions, and drive the paradigm shift of pharmaceutical industry research and development. The research and development process of the pharmaceutical industry shares similarities with multiple fields such as chemical engineering, materials, and energy in terms of underlying research and development logic, and the data construction method is replicable. With its deep cultivation and industry accumulation in the biopharmaceutical industry, the company has expanded its industry coverage to new materials, chemical engineering, new energy and other fields.

Jingtai Technology's continuous pursuit of original innovation has always been at the forefront of key core technology research and development, continuously exploring high-value scenarios for the deep integration of technological innovation and industrial innovation, jointly building new quality productivity, assisting in the construction of Digital China, and promoting high-quality industrial development.