In 2023, the artificial intelligence (AI) industry will once again be in the spotlight, especially with large AI models and AIGC leading the new wave. However, many AI companies still face challenges in terms of commercialization. Geling Shentong is an A-share listed company, and its successful commercialization is worth paying attention to.
Geling Shentong has five core technologies, including deep learning model training, 3D stereo vision, automated traffic scene perception, large-scale cross-mirror tracking, and robot perception and control. These technologies were successfully applied to the development of products and solutions, which eventually led to breakeven.
On August 25, 2023, Geling Shentong released its semi-annual report, which showed that the company had achieved impressive results. Half-year operating income reached 15.7 billion yuan, a year-on-year increase of 3435%, while net profit attributable to the parent increased by 116 year-on-year84%。
Behind this achievement is the company's scenario-oriented technology research and development. In terms of operations, the company successfully improved operational efficiency, with accounts receivable and inventory turnover days decreasing, and overall gross profit margin increasing. Despite the increase in R&D investment, the company still maintained profitability, with R&D investment accounting for 48% of revenue95%。
Geling Shentong's financial data shows that the company's revenue and R&D investment have grown simultaneously, while maintaining profitability, forming a virtuous circle. This cycle is a scarce phenomenon in the AI industry, where R&D investment brings products, product commercialization generates profits, and profits are reinvested in R&D, which promotes the company's development.
Through an in-depth understanding of core technologies and industry scenarios, Geling Shentong has continuously developed and improved solutions, which have been recognized by customers. For example, in the field of rail transit operation and maintenance, the company's 3D reconstruction and stereo vision analysis technology successfully solved the problem of train parts inspection and improved the inspection efficiency. In addition, the company's robot perception and control technology has performed well in real-time positioning, robotic arm visual feedback, robot path planning and autonomous navigation, providing mature solutions for rail transit operation and maintenance business.
Geling Shentong has established a complete R&D model in the fields of smart finance, urban management, commercial retail, and rail transit operation and maintenance, combining technology and commercialization experience to accelerate the application landing. The company has a number of research projects that have progressed to the stage of "large-scale commercialization".
In short, profitability is still a scarce attribute in the AI industry, and Geling Shentong has established a leading position in the segment field with its technical advantages and market understanding. While AI technology has ushered in new opportunities, it has also brought more challenges. Geling Deep Pupil is ready for this opportunity.
The way forward includes exploring new AI application scenarios and unleashing the potential of large-scale models. The company has achieved remarkable results in the application of 3D stereo vision technology, not only in the field of rail transit operation and maintenance, but also in the field of sports health and metaverse to show potential.
In the field of sports health, the company's 3D stereo vision analysis technology helps to improve the training effectiveness of athletes. In addition, Geling DeepPupil provides solutions to improve campus physical training and teaching processes, increase efficiency, and support personalized analysis.
In the metaverse, 3D stereo vision technology provides the possibility of immersive human-computer interaction, which can be used in multiple fields such as games, events, press conferences, and exhibition halls.
In addition, Geling Shentong also actively explores the application of large-scale models, especially in the field of smart finance, and the company has built large-scale model technology for behavior analysis to improve the recognition efficiency.
In conclusion, Geling Shentong demonstrated the key factors for success in the AI industry: advanced technology, deep market understanding, and the ability to continuously innovate. The company will continue to work hard to promote the application of AI technology in more fields and achieve commercial success.