Systems Engineering Inc. helps you design
complex systems with ease.
Systems Engineering Inc. is a systems engineering specialist that has devoted 25 years, since its founding in 2000, to developing concept designConcept designThe stage before a system is built in which its goals, functions and overall structure are decided — the big picture of what to build and how.See all terms technology and consulting for advanced products and systems. From large, complex systems in space and defense to mass-produced systems such as automobiles and heavy equipment, software, and conceptual systems such as policy and global issues, we have supported architecture modeling and design at the system and system-of-systems level — and on that experience we develop and operate SELab.AI, an AI-based concept design automation platform. The foundation of all of this is systems thinkingSystems thinkingA way of thinking that looks at a problem not as a single element but from the perspective of the whole, interconnected system.See all terms.
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Systems Thinking
The foundation
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Foundation technologies
SE technologySE technologyTechnology for systematically managing complex systems from requirements through design, development, verification and operation.See all terms · AI technology · existing industry technology
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SELab.AI
Concept design automation platform
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Leading industrial innovation
Built on concept design models for each industry
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Spreading worldwide consensus
Built on concept design models of global issues
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Greater sustainability for the planet and humanity
What we believe
What systems engineering technology can do for humanity
Humanity has advanced by designing ever larger systems — from individuals to companies to nations. Yet in the face of problems the whole of humanity must solve together, such as deterring war and addressing climate change, limits remain. Each nation acts on its own interests, and we lack a common model through which to look at and discuss together the vast system that is humanity and the Earth.
Layers of systems and the cognitive barrier — and how SELab.AI is used at each layer
High control · high effectiveness
Individuals
Using SELab.AI
Developing and analyzing concept models for personal interests
Organizations
Using SELab.AI
Industry innovation via concept design; leading new high-tech markets
Nations
Self-interest → conflict
Using SELab.AI
Developing and analyzing national policy models
Control boundary
Low control · low effectiveness
International bodies
UN and others · limited effectiveness
Using SELab.AI
Developing and analyzing world policy models for global issues
Cognitive barrier
Very low control
Humanity & Earth
No common model · a system with no designer
Using SELab.AI
Alternatives via concept models of problems that int’l bodies can’t solve
- Where we apply and verify first — proven with individuals, organizations and nations
- What humans have designed so far — up to international bodies, but with limited effect at the level of humanity and the Earth
- What can be designed with SELab.AI — beyond the cognitive barrier, up to the systems of humanity and the Earth
Concept designConcept designThe stage before a system is built in which its goals, functions and overall structure are decided — the big picture of what to build and how.See all terms is the technique of abstracting a complex problem into a model that everyone can understand and look at together. Until now, that ability has been concentrated in a small number of experts. SELab.AI lowers the barrier with systems engineering technology and AI. It provides step-by-step procedures and methods along with AI-based automation, so that anyone — not only experts, but secondary-school students too — can build, analyze and debate models of everything from small personal problems to global issues.
Path for first application and verification — from individuals to nations, spreading as it is proven
01
Individuals
Problem definition and solution development based on systems thinking, automatically modeled and analyzed as a process
→ Excellent conclusions on personal interests
02
Organizations
Leading innovation in existing markets by analyzing and innovating current service and product models
Modeling and analyzing innovative service and advanced product concepts built on creativity and new technology, to lead new markets
03
Nations
Building the nation’s future vision as a model
Gap analysis by capability area · checking investment feasibility
National policy that reflects the plan to achieve the vision
[How the Earth’s sustainability is realized]
Future vision models are built, verified for effectiveness and agreed upon in order — individuals → organizations → nations → the world → humanity and the Earth; a culture of confidence in achieving the vision spreads on the basis of model analysis, and the trust accumulated this way becomes the foundation for realizing the Earth’s sustainability.
[Solving humanity’s problems: democratizing the ability to abstract]
When people look at the same model together and debate it, new common ground can form even between very different perspectives. We believe that democratizing the ability to abstract raises the chances that humanity can understand and solve its own problems together.
The path SELab.AI opens — democratizing the ability to abstract
AI concept design automation
Anyone · even students
Shared models of global problems
= a common language
Borderless debate & analysis
Worldwide consensus
Cooperative action
Sustainability ↑
※ The last step is completed when combined with the design of institutions and policy
SELab.AI is the foundational technology for turning that possibility into reality.
This belief has a scientific basis.
A precedent: one model changed the world’s discourse
The Club of Rome’s The Limits to Growth (1972) created worldwide consensus with a single global model, World3. More than 30 million copies of the book were distributed in 30 languages.1
Shared models are the medium of cooperation
Boundary object theory (Star & Griesemer, 1989) shows that a shared object is a medium that lets groups with different perspectives cooperate even without consensus.2 A concept model is a boundary-object model that integrates the models of many individual perspectives; with one, groups of stakeholders can cooperate even without agreement.
Debate really does bring opinions together
Deliberative Polling (Fishkin) has demonstrated, in experiments across the United States, China, the EU and elsewhere, that structured debate on balanced, shared information produces real changes of opinion.3 But the more abstract the problem — from personal to planetary — the harder debate becomes.
That is why a tool is needed
Systems thinkingSystems thinkingA way of thinking that looks at a problem not as a single element but from the perspective of the whole, interconnected system.See all terms experiments (Booth Sweeney & Sterman, 2000) show that even highly educated people such as MIT business school students largely fail at intuitive reasoning about simple stock-flow problems. Democratizing the ability to abstract requires a tool — and that is why SELab.AI exists.4
- Meadows, D. H., Meadows, D. L., Randers, J., & Behrens III, W. W. (1972). The Limits to Growth: A Report for the Club of Rome's Project on the Predicament of Mankind. New York: Universe Books.
- Star, S. L., & Griesemer, J. R. (1989). Institutional Ecology, 'Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39. Social Studies of Science, 19(3), 387-420.
- Fishkin, J. S. (2009). When the People Speak: Deliberative Democracy and Public Consultation. Oxford: Oxford University Press.
- Booth Sweeney, L., & Sterman, J. D. (2000). Bathtub Dynamics: Initial Results of a Systems Thinking Inventory. System Dynamics Review, 16(4), 249-286. doi:10.1002/sdr.198
- MISSION
- To everyone who wants to benefit the world and raise human value,
we provide a concept designConcept designThe stage before a system is built in which its goals, functions and overall structure are decided — the big picture of what to build and how.See all terms automation platform built on systems engineering and AI. - VISION
- A world where anyone can use AI in their own work on the basis of systems thinkingSystems thinkingA way of thinking that looks at a problem not as a single element but from the perspective of the whole, interconnected system.See all terms — without knowing systems engineering, without knowing AI. We call this Citizen AICitizen AIAn environment in which people who are not AI specialists can put AI to work using their own domain knowledge.See all terms. Systems Engineering Inc. removes the barrier of technology through SELab.AI and helps everyone who knows their own work create greater value with systems engineering and AI technologies.
- STRATEGIC GOALS
- Build an education system in which people design their own lives on the basis of systems thinking and achieve their life vision
- Lead industrial innovation through concept design models for each industry
- Spread worldwide consensus through concept design models for global issues
What we do
Built on systems engineering and AI, we make concept designConcept designThe stage before a system is built in which its goals, functions and overall structure are decided — the big picture of what to build and how.See all terms easy to carry out — helping people define problems correctly and design better solutions.
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Development and operation of SELab.AI, an AI-based MBSEMBSEA method that represents a system’s structure, functions and relationships as a digital model and designs and verifies around that model.See all terms concept design automation platform
(Subscription and on-premiseOn-premiseInstalling and operating a system in a company’s own server environment rather than in the cloud.See all terms)
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A Citizen AICitizen AIAn environment in which people who are not AI specialists can put AI to work using their own domain knowledge.See all terms Platform that lets people who are not AI experts use AI at a high level in their work
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Concept design consulting and concept design model development services for each industry
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Training in systems thinkingSystems thinkingA way of thinking that looks at a problem not as a single element but from the perspective of the whole, interconnected system.See all terms and industry-specific concept design using SELab.AI, an AI-based MBSE tool
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National R&D projects
(including core projects funded by the Ministry of Trade, Industry and Energy)
Our journey
The road of concept designConcept designThe stage before a system is built in which its goals, functions and overall structure are decided — the big picture of what to build and how.See all terms since 2000
SE LAB (2021) → SE LAB.AI → SELab.AI belong to the same lineage of tools.
2026
- Public release of SELab.AI, an AI-based concept design automation platform (https://selab.ai/(opens in a new window))
2025
- Selected for core projects funded by the Ministry of Trade, Industry and Energy
- Project 1. Development of a web-based systems engineering concept design modeling tool (software) for advanced industries
- Project 2. Development of two reference models using the web-based systems engineering concept design modeling tool (software)
- SE TECHNOLOGY Inc. was dissolved and its business was taken over by the newly established Systems Engineering Inc. (SE TECHNOLOGY Inc. → Systems Engineering Inc.)
2023 – 2024
- Planning of a national core project for the Ministry of Trade, Industry and Energy
- Effectiveness analysis of software concept design education using the minimum viable product of our systems-engineering-based concept design support tool (https://mvp.selab.ai/intro(opens in a new window)) (continued)
2022
- Final report on the Ministry of SMEs and Startups research project (development of an AI-based platform for predicting the spread of infectious diseases)
- Effectiveness analysis of software concept design education using the minimum viable product of our systems-engineering-based concept design support tool (https://mvp.selab.ai/intro(opens in a new window))
2021
- Development of the minimum viable product of our systems-engineering-based concept design support tool (https://mvp.selab.ai/intro(opens in a new window))
2020
- Completion of the SE-based architecture project for the next-generation military satellite communication system
- Selected as an AI Voucher supplier
- Selected as a Data Voucher supplier
2019
- Selected for the Defense Venture program of the Defense Agency for Technology and Quality
- Selected by the Ministry of SMEs and Startups for big-data-based service development
2018
- Development of FMEA-i, a system failure analysis tool
- GD&T technology training for KETI / DSG (Kwanghae)
- Research on Epidemic-AI (EpAI), an AI-based infectious disease situation awareness system that predicts the likelihood of diseases entering Korea and of domestic outbreaks through mutation
- Hosted Prof. Laporte’s course on ISO 29110 and Software Quality Assurance
- Obtained Inno-Biz (technology-innovative SME) grade A
2017
- Development of MSAW (a cloud-based AI service platform for real-time analysis and prediction of manufacturing situations)
- Resumption of the SE-based architecture project for the next-generation military satellite communication system
- Development of Weibull-i, a reliability analysis tool
- Launch of SET public training and tool-centered training
- Introductory systems engineering training for lead engineers of the core design teams at Hyundai Motor’s Namyang R&D Center
- Kick-off study for a US Navy SE-based ship development project
2016
- Launched development of a cloud-based AI service platform for real-time analysis and prediction of manufacturing situations
- MND-AF system development project for the obstacle-breaching tank
2015
- SE-based architecture project for the next-generation military satellite communication system (system development)
- Architecture development and analysis for free-form mine-clearing equipment
2014
- Architecture development and analysis for the 30 mm wheeled anti-aircraft gun
2013
- Development of the defense architecture (MND-AF) for the TICN system
2012
- Integrated architecture modeling and analysis for wheeled combat vehicles
2011
- SE-based architecture project for the next-generation military satellite communication system (exploratory development)
2010
- Awarded the Joint Chiefs of Staff “Joint Wargame Architecture” project (completed 2011)
2009
- Awarded the Ministry of National Defense study “Efficient Acquisition of Standard Resources”
- Participated in phase 2 of LG CNS’s defense enterprise architecture project
- Carried out the Samsung Thales / S2CS MND-AF development study
- Awarded a Small and Medium Business Administration industry–academia project to develop an integrated SE methodology tool
2000
- SE TECHNOLOGY Inc. founded (October 17, 2000)

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