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README.md
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# NCDTech β We design and research smart monitoring and control systems that grow.
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Our roots are in smart monitoring and control.
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With our robot simulation studio we stand on that extension line, and our AI sits on top of it.
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What we build is the layer above that: self-inspection wired into every stage, and an on-premise LLM that reads those inspection records and explains them in plain conversation.
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Making code verify itself is nothing new.
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Test benches and unit tests live outside the code; self-checks live inside it: assertions, Design by Contract, and built-in self-tests (BIST/POST) are standard embedded practice.
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The system grows through use, but only under administrator approval: code-based verdicts are never overwritten, every approved piece of knowledge keeps its full revision history, and nothing is ever silently deleted.
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We do not so much invent new capabilities as put AI, without hesitation, on top of abilities we have already verified, and make it actually run.
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**Current status**: first development phase complete, applied to our in-house autonomous driving simulator.
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Demo application in progress, with the knowledge base still growing.
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---
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-
##
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**NCDTech** β μ±μ₯νλ μ€λ§νΈ λͺ¨λν°λ§ μ μ΄ μμ€ν
μ μ€κ³νκ³ μ°κ΅¬νλ νμ¬μ
λλ€.
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λ°λͺ¨ μ μ© μ€μ΄λ©° μ§μμ νμ₯ μ€μ
λλ€.
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# NCDTech β We design and research smart monitoring and control systems that grow.
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*(Diagrams and screens below are in Korean; they are the same figures used on our website and demo video.)*
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Our roots are in smart monitoring and control.
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With our robot simulation studio we stand on that extension line, and our AI sits on top of it.
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What we build is the layer above that: self-inspection wired into every stage, and an on-premise LLM that reads those inspection records and explains them in plain conversation.
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Making code verify itself is nothing new.
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Test benches and unit tests live outside the code; self-checks live inside it: assertions, Design by Contract, and built-in self-tests (BIST/POST) are standard embedded practice.
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The system grows through use, but only under administrator approval: code-based verdicts are never overwritten, every approved piece of knowledge keeps its full revision history, and nothing is ever silently deleted.
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We do not so much invent new capabilities as put AI, without hesitation, on top of abilities we have already verified, and make it actually run.
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**Current status**: first development phase complete, applied to our in-house autonomous driving simulator.
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Demo application in progress, with the knowledge base still growing.
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---
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## νκ΅μ΄
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**NCDTech** β μ±μ₯νλ μ€λ§νΈ λͺ¨λν°λ§ μ μ΄ μμ€ν
μ μ€κ³νκ³ μ°κ΅¬νλ νμ¬μ
λλ€.
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λ°λͺ¨ μ μ© μ€μ΄λ©° μ§μμ νμ₯ μ€μ
λλ€.
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---
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Website: https://www.ncdtech.org
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LinkedIn: https://www.linkedin.com/company/112725964
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Dataset: [NCDTech/human-gated-qaqc-knowledge-example](https://huggingface.co/datasets/NCDTech/human-gated-qaqc-knowledge-example) Β· Model: [NCDTech/sim-driving-mlp-numpy](https://huggingface.co/NCDTech/sim-driving-mlp-numpy)
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