RUNTEQ Launches "RUNTEQ Growth AI," an Engineer Training Platform for Corporations

RUNTEQ Co., Ltd. (Chiyoda-ku, Tokyo; Representative Director & CTO: Hisashi Kikumoto) is pleased to announce the launch of "RUNTEQ Growth AI," an engineer training platform for corporations.

"RUNTEQ Growth AI" is an all-in-one platform for corporate training, offering unlimited access to approximately 70 curricula compatible with Ruby, Python, PHP, and Java. It features AI automated code review, an AI instructor, skill evaluation, AI daily reports, and a management dashboard.

RUNTEQ has systematized the AI learning support functions it has cultivated for individuals over the years into a corporate training solution, enabling both the improvement of trainees' self-driven learning and efficient training management by HR personnel within a single service.

■ Background: Structural Challenges in Corporate Engineer Training

Many companies face three major challenges in engineer development:

1. Lack of skill visualization: Learning progress and proficiency can only be grasped qualitatively.

2. Concentration of OJT burden: High reliance on on-site mentors leads to individualized training.

3. Gap between learning and practical work: Trainees complete materials but don't acquire skills applicable to real-world tasks.

At the root of these challenges are insufficient learning visualization and training designs that merely "provide materials." RUNTEQ has built a platform that can prove training outcomes with data, combining over 7 years of educational know-how accumulated as a highly practical programming school with its independently developed AI functions.

■ Main Features of "RUNTEQ Growth AI"

1. Practical Curriculum based on Development Site Standards (approx. 70 types, unlimited use)

We offer unlimited access to approximately 70 curricula covering practical areas such as web fundamentals, infrastructure, AI, and front-end development.

Supporting four major languages—Ruby, Python, PHP, and Java—it can be flexibly utilized according to existing development stacks and training policies. In addition to text and videos, the design allows AI to review code written in an actual development environment in real-time, enabling trainees to acquire coding skills that meet on-site acceptance standards. Curricula are planned to be expanded sequentially in the future.

2. AI Automated Code Review & AI Instructor (24-hour support)

For errors encountered during learning, AI provides immediate feedback on "situation analysis, cause identification, and path to resolution." Instead of directly providing answers, this interactive support helps trainees arrive at the correct solution themselves, eliminating learning stagnation due to waiting for reviews. It offers immediate support even late at night, allowing for deep dives into "why this is correct" and "how to design in practical work."

3. Skill Evaluation Service "Skill Metrix"