Scaling AI/DX Support Centered on FDE Training and Interactive AI-ATS 'Fairpath'

bgrass Inc. (Headquarters: Shibuya-ku, Tokyo; Representative Director: Da-young Hahm, hereinafter "the Company"), in order to solve on-site challenges in the AI era, will develop an HR business centered on training FDEs (Forward Deployed Engineers) and solving diverse operational issues using skilled IT personnel. Furthermore, based on the practical knowledge gained by these personnel, the Company will advance the development and provision of solutions for various domains (business areas) to promote AI/DX. * For inquiries regarding services, please refer to "[Notice] Regarding Service Consultations" described in the latter half of this release. Background / Why bgrass is taking this on: The Company has been working to increase opportunities for fair evaluation of each individual through career support and community formation for female IT personnel, centered on its career change support service for female engineers, "WAKE (formerly WAKE Career)" (*2). This mission remains an important axis for the Company going forward. Amidst these efforts, a common challenge has emerged. With the rapid spread of AI technology and the automation of coding and implementation tasks, it is becoming difficult to envision a career that is an extension of past experience and skills, and many female engineers are feeling anxious about the future. The Company opened the "High Class Academy" (*1) in March 2026 to teach upstream processes. Personnel who studied at this academy will enter corporate sites, convert the practical knowledge they gain there into new products, and deliver them to society. By creating this new business cycle, the Company will break through the social issue of limited choices based on attributes, which has become apparent in the field of women's support. The Company will break through unconscious biases and implement a new market and mechanism where individuals are evaluated fairly based on results and ability, regardless of gender or work style. Initiative Details: The "Fair Cycle" Model for the AI Era Created by bgrass. [1] Providing the Interactive AI-ATS "Fairpath" - A Cycle of FDE Practical Application and Product Development. The interactive AI-ATS "Fairpath," launched this year, improves the quality of decision-making with objective information based on dialogue content and creates a "fair" hiring mechanism that is not swayed by emotions or preconceptions. Trials are already underway at multiple companies. This "Fairpath" mechanism is also a vital apparatus for the Company to solve on-site issues. Based on practical knowledge such as "where work gets bottlenecked" and "where human judgment should be retained," which becomes visible as FDEs are active in the field, the Company will develop a new "Fairpath" that adapts to all situations. By driving this cycle of personnel activity and new product development, the Company aims to spread low-cost, high-quality AI/DX. [2] "Domain Support" - Finding Solutions to Issues Together on Site. The Company launched the interactive AI-ATS "Fairpath" this year. Going forward, regardless of the hiring domain, the Company will deploy AI/DX support for all domains via PM and FDE teams. Rather than merely stating opinions as external advisors, they will work together to solve issues as a member of the site, creating a solution model where AI and humans cooperate to yield the best results. [3] "AI Spot Support" - Professionals Support When Needed. While interest in AI utilization is high, there are many voices saying, "We haven't been able to use it in our core business yet" or "There is no place for practical application." In such cases, professional engineers will support business challenges in a short period ranging from a minimum of 2 hours to a few days, from diagnostic and organizational work to introduce AI to creating an environment for it to actually operate. Comment from Da-young Hahm, Representative Director CEO / CTO: I feel that the value required of engineers is beginning to change significantly with the evolution of AI. Rather than value being determined solely by implementation ability as in the past, the ability to organize issues, immerse oneself in the field, and move forward while considering where humans should be involved will become increasingly important. I perceive the present not merely as a moment of technological innovation, but as a historical timing where social norms themselves are changing. In the technology industry, the ratio of women still remains around 20%. That is why, at this very timing when AI is changing the value and roles of engineers, I want to overturn that structure. The Company...