Hyundai Mobis Launches In-House AI Platform "MoAI" Developed Internally

Applied to Seven Areas Including R&D, IT, and Quality
To Expand to Legal Affairs and Management Support Within the Year

Hyundai Mobis announced on the 21st that it has officially launched its internally developed generative artificial intelligence (AI) platform, "MoAI (Mobis one AI)." MoAI is a conversational AI service directly connected to various internal work systems, enabling everything from document or image and manual searches to the creation of analytical reports.

MoAI is applied to seven business areas, including research and development (R&D), IT, quality, sales, and production. For example, if information is needed about a specific product development project, users can ask MoAI and instantly receive comprehensive data such as project schedules, progress status, deliverables by development stage, and the names of responsible personnel. By utilizing the quality knowledge search service, users can quickly receive summarized histories of accumulated quality improvement efforts and prompt suggestions for improvement measures. Additionally, if information on raw material prices or recent economic trends is required, MoAI provides data analysis and generates analytical reports on the results.

Hyundai Mobis developed MoAI to maximize employees' utilization of internal data. As the service was developed and built in-house, it is also secure from a data protection perspective. Hyundai Mobis began development early last year and, after verifying its effectiveness through a pilot service, is now officially launching the platform.

Hyundai Mobis plans to leverage the advantages of evolving generative AI, incorporate employee feedback to enhance service quality, and gradually expand the range of business applications. The company is also preparing to extend the service to additional areas such as legal affairs and management support within the year.

Meanwhile, the generative AI model independently developed by Hyundai Mobis for company-wide work innovation was recognized for its competitiveness this year, having been selected as an outstanding paper at the Conference on Computer Vision and Pattern Recognition (CVPR) and the International Conference on Computer Vision (ICCV).

This content was produced with the assistance of AI translation services.