A New Ally for SES!! Releasing a Next-Generation SES Matching System that Digitizes Experience and Intuition, Connecting Engineers and Projects with AI [Engineer no Mikata Co., Ltd.]
Engineer no Mikata Co., Ltd. has released an AI-driven next-generation SES matching system that uses LLMs to analyze unstructured data, solving the issue of mismatching and helping to improve engineer treatment.
📋 Article Processing Timeline
- 📰 Published: April 2, 2026 at 19:00
- 🔍 Collected: April 2, 2026 at 14:30
- 🤖 AI Analyzed: April 21, 2026 at 06:47 (448h 16m after Collected)
## Development Background: The "Mismatch of Talent and Projects" 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 has heavily relied on the "experience" and "intuition" of recruiters.
The reality has been that project information and talent information were handled as submitted text data without proper database construction. As a result, this sometimes created cases where the rationale for "why am I assigned to this project?" was opaque to the engineers.
Engineer no Mikata Co., Ltd. solves this issue. Based on the practical knowledge we have cultivated through over 8,000 successful matches, we have developed a proprietary "Engineer Matching System" integrated with the latest AI technology.
## System Features: Structuring "Workplace Satisfaction" with AI
The vast knowledge previously held by our experts is properly structured to match the latest AI levels and stored in a database.
**1. Thorough Analysis of "Unstructured Data"**
It comprehensively analyzes information such as an engineer's "technical skills", "desired income", and "working conditions", alongside corporate project details like "order value", "deadline", and "required personnel". Remarks that cannot be quantified are also reflected using LLMs. With over 100,000 engineers and projects already registered, we can match any project with the perfect engineer.
**2. Proposals that Maximize Engineers' Careers**
By systematically capturing detailed information for each engineer, the system enables proposals for projects from among a vast number that best match the person's skills and future prospects.
**3. "Unique Matching Logic" by CTO Kato**
Rather than a simple mechanical linkage, CTO Kato—who is both an engineering manager and an AI expert—reflected the insights gathered from interviews with both engineers and companies into a unique, meticulous approach. The system incorporates "workplace satisfaction" from a frontline perspective, going beyond mere numbers.
## What This System Achieves ①: Improving Treatment of Engineers
**1. Achieving Satisfying "Salary Increases"**
We do not evaluate an engineer's skills on a "hunch". We accurately digitize their market value based on registered experiences and skills. By matching each engineer with the project where they are most highly valued, we prevent underselling their skills. Because it is an evidence-based match, they can obtain a salary increase as fair compensation.
**2. A Workplace Atmosphere that Suits You**
It minimizes risks such as "the workplace was noisier/quieter than I thought" or "there was a lot of overtime when I actually joined". By analyzing past feedback and workplace atmospheres, it ensures the engineer can exert their optimal performance.
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 has heavily relied on the "experience" and "intuition" of recruiters.
The reality has been that project information and talent information were handled as submitted text data without proper database construction. As a result, this sometimes created cases where the rationale for "why am I assigned to this project?" was opaque to the engineers.
Engineer no Mikata Co., Ltd. solves this issue. Based on the practical knowledge we have cultivated through over 8,000 successful matches, we have developed a proprietary "Engineer Matching System" integrated with the latest AI technology.
## System Features: Structuring "Workplace Satisfaction" with AI
The vast knowledge previously held by our experts is properly structured to match the latest AI levels and stored in a database.
**1. Thorough Analysis of "Unstructured Data"**
It comprehensively analyzes information such as an engineer's "technical skills", "desired income", and "working conditions", alongside corporate project details like "order value", "deadline", and "required personnel". Remarks that cannot be quantified are also reflected using LLMs. With over 100,000 engineers and projects already registered, we can match any project with the perfect engineer.
**2. Proposals that Maximize Engineers' Careers**
By systematically capturing detailed information for each engineer, the system enables proposals for projects from among a vast number that best match the person's skills and future prospects.
**3. "Unique Matching Logic" by CTO Kato**
Rather than a simple mechanical linkage, CTO Kato—who is both an engineering manager and an AI expert—reflected the insights gathered from interviews with both engineers and companies into a unique, meticulous approach. The system incorporates "workplace satisfaction" from a frontline perspective, going beyond mere numbers.
## What This System Achieves ①: Improving Treatment of Engineers
**1. Achieving Satisfying "Salary Increases"**
We do not evaluate an engineer's skills on a "hunch". We accurately digitize their market value based on registered experiences and skills. By matching each engineer with the project where they are most highly valued, we prevent underselling their skills. Because it is an evidence-based match, they can obtain a salary increase as fair compensation.
**2. A Workplace Atmosphere that Suits You**
It minimizes risks such as "the workplace was noisier/quieter than I thought" or "there was a lot of overtime when I actually joined". By analyzing past feedback and workplace atmospheres, it ensures the engineer can exert their optimal performance.