SES's New Ally! Engineer no Mikata Inc. Releases Next-Generation SES Matching System Using AI to Connect Engineers and Projects by Datafying Experience and Intuition

Background of Development: The 'Talent and Project Mismatch' Lurking in the SES Industry

Until now, our company has connected over 10,000 engineers with more than 8,000 corporate projects in the SES (System Engineering Service) industry. However, matching engineers with projects often relied heavily on the 'experience' and 'intuition' of the person in charge.

Project information and talent information were handled as submitted text data, and proper database management was not carried out. As a result, engineers sometimes faced situations where the reasons for being assigned to a particular project were unclear.

Engineer no Mikata Inc. is solving this problem. Based on our practical knowledge gained from over 8,000 matching experiences, we have developed a unique 'Engineer Matching System' that integrates the latest AI technology.

Actual Dashboard Screen

Features of This System: Structuring 'On-site Consensus' with AI

The vast knowledge accumulated by our experts will be appropriately structured and stored in a database, aligned with the latest AI standards.

1. Thorough Analysis of 'Unstructured Data'

We comprehensively analyze information such as engineers' 'spec skills,' 'desired income,' and 'working conditions,' as well as corporate project details like 'order amount,' 'delivery time,' and 'required personnel.' Even non-numerical remarks are reflected using LLM. With over 100,000 registered engineers and projects, we can match the perfect engineer to any project.

2. Proposals that Maximize Engineer Careers By meticulously incorporating each engineer's information into the system, we can propose projects that best align with their skills and future aspirations from a multitude of available options.

3. CTO Kato's 'Unique Matching Logic' This is not merely mechanical linking. CTO Kato, an engineering manager and AI expert, has incorporated unique insights based on interviews with both engineers and companies. This system embodies a 'sense of on-site consensus' that goes beyond mere numbers.

What This System Achieves ①: Improved Engineer Treatment

1. Realizing Satisfactory 'Salary Increases' We do not evaluate engineers' skills 'vaguely.' Their registered experience and skills are accurately datafied to determine market value. By matching each engineer with projects where they are most highly valued, we prevent the undervaluation of skills. Rooted in evidence-based matching, engineers can achieve fair compensation and salary increases.

2. Finding a Workplace with a Suitable Atmosphere

We minimize the risk of situations like "the workplace was noisier/quieter than expected" or "there was more overtime than anticipated once I started." By analyzing past feedback and workplace atmospheres, we carefully select environments where engineers can perform optimally. We guarantee a "preferred work culture" that might otherwise be overlooked when only considering numbers.

3. Building a Career with 'Desired Work'

Engineers will not be swayed by company convenience, such as being "thrown into an available project." The system precisely matches an engineer's "ideals"—what they want to become, what technologies they want to work with, and their desired income—with "available projects." They can experience the fulfillment of working in a chosen environment they are satisfied with.

What This System Achieves ②: Smooth Order Placement and Reception for Corporate Projects

The matching system databases vast amounts of previously buried textual data and knowledge, enabling "highly accurate predictions" through AI.

This allows companies to secure more reliable engineers more smoothly and at a lower cost than before. We are confident that eliminating personalization and providing data-backed matching is the shortest route to successful corporate projects.

This System Achieves an '83% Return Rate' to Engineers

The results of thoroughly eliminating wasteful operational tasks through data-driven optimization are evident. The company can significantly reduce costs previously allocated to matching, and the generated profits can be directly returned to engineers, or higher-spec engineers can be hired at the same price.

Through this system, our company has achieved an overwhelming '83% return rate,' which is among the highest in the industry. As our company name, "Engineer no Mikata" (Ally of Engineers), suggests, we will continue to realize an efficient industry where engineers can work with satisfaction.

Engineer no Mikata Inc. CTO Kato

Message from CTO Kato

Until now, SES matching has largely depended on human intuition, leading to issues with information transparency. With this system, we focused on replicating the judgment criteria we've cultivated on-site—'this project is best for this person'—through AI and our unique algorithms. Moving forward, we will continue to support engineers in confidently pursuing their careers through the power of technology.