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
the foundation of everything we do
foundationThrough SELab.AI, an AI-powered 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, Systems Engineering Inc. makes Model-Based Systems Engineering (MBSE)MBSEA method that represents a system’s structure, functions and relationships as a digital model and designs and verifies around that model.See all terms easy to practice — and builds a world where anyone, in any field, can put AI to work in their own job.
What is concept design?
Making something broadly involves two stages: “design” and “implementation.” Design is deciding in advance what to make and how; implementation is actually making it according to those decisions. When building a house, drawing the plans is design, and laying the bricks according to those plans is implementation.
Design itself splits into concept design and detailed designDetailed designThe stage in which the agreed concept and structure are worked out into the concrete functions and components needed for implementation.See all terms. Concept design (blueprint design) decides what to build and why, how to divide the whole into parts, and how those parts connect. Detailed design then decides, on top of that blueprint, the exact specifications and dimensions for actually manufacturing each part. If the direction goes wrong at the concept stage, no amount of good detailed design or implementation can easily undo it — concept design is the stage that decides whether the whole undertaking succeeds.
By field of application, concept design looks like this.
The master plan — how many floors, what the spaces are for and how they are arranged — is concept design. Sizing the rebar and routing the plumbing is detailed design.
Deciding an electric vehicle’s target range and charging method, and how the battery, motor and controller are configured, is concept design. Finalizing part drawings and materials is detailed design.
The mission concept for how manned tanks and unmanned aircraft divide and carry out a counter-drone mission is concept design. Fixing sensor specifications and communication protocols is detailed design.
The structural design — which users use which functions, and how the system is divided into services — is concept design. Screen and database design and coding are detailed design.
Structuring the cause-and-effect between goals, stakeholders and instruments — as in responding to a falling birth rate — is concept design. Setting the budget and rules for each individual program is detailed design.
Tackling humanity’s shared challenges — war, global warming, waste, the widening AI access gap, and how to respond to the emergence of AGI and ASI. Defining the scope of the problem and its stakeholders, and modeling the structure of cause and effect to decide which instruments act where, is concept design. The detailed design of individual policies and institutions is detailed design.
Greater sustainability for the planet and humanityWorldwide consensus built on concept design models of global issues
These global challenges are the most abstract problems of all. Their boundaries are blurry and their stakeholders are many, so they easily end in slogans and declarations. Concept design is the means of turning such a vague problem into a visible model, so that people with different positions can reach workable solutions through concrete, analytical deliberation.
Systems Engineering Inc. automates exactly this concept design stage with AI.
When AI automates 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, experts design faster — and everyone can design.
Through these two promises, SELab.AI drives industrial innovation and global consensus,
building a sustainable future for the planet and humanity.
Follow the procedure and fill in the templates: the model takes shape and the deliverables are generated automatically.
AI drafts, you review and approve — the final decision is always made by a person.
Process
A proven concept design procedure is provided step by step. Advanced users can develop and apply their own concept design process tailored to their organization.
Each step comes with a template that tells you what to write. Template content is integrated into the metamodel, so filling in the template is equivalent to developing the model. There is no separate modeling tool to learn.
Fill in the templates and the concept design deliverables — concept of operations, stakeholder requirements document, system specification document, architecture artifacts and more — are generated automatically.
AI assists as you fill in the templates, generating content automatically. Only what you review and approve goes into the model.
Operational scenarios generated → user refines and approves → requirements generated from scenarios → user refines and approves → architecture model generated from scenarios → user refines and approves → analysis results derived and shown on the dashboard → user refines and approves → requirements, specification and architecture deliverables generated → user refines and approves
Built-in simulation analysis (timeline analysis, resource analysis) is provided, along with integrated analysis linked to external analysis tools.
A dashboard that brings the analysis results together lets you judge the validity of the design as a whole.
From consulting and development to training, subscription and on-premise deployment —
services that fit a wide range of industries and business environments.
From space and defense to policy systems
Requirements, architecture and reference model development and delivery
Systems thinking, concept design, Model-Based Systems Engineering (MBSE), applied AI
SELab.AI, ready to use on the web
Deployed inside your infrastructure for secure environments
Systems engineering capability built since our founding in 2000 through architecture design across industries
and national core R&D programs.
Adding AI and 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, we create sustainable technology and new industrial innovation.
The research and development behind SELab.AI, and its key results.
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