Blog
-
TechAI That Understands Tables and CAD Drawings: A Deep Dive into Unstructured Data Processing
Traditional Retrieval-Augmented Generation (RAG) systems work very effectively on plain text documents. However, they struggle significantly when dealing with documents that contain unstructured data, such as complex tables in financial reports, charts in research papers, or CAD drawings. This is because such systems often fail to capture the essential structure and context of the data. […]
-
TechBeyond Simple RAG: Solving Complex Queries with Agentic RAG Workflows
Is Basic RAG Enough? Standard Retrieval-Augmented Generation (RAG) systems are highly effective for simple fact-finding. However, they often reach their limits when faced with complex documents—such as financial reports (SEC 10-K, 10-Q), research papers, and technical manuals—where tables and text are intricately mixed, or when questions require multi-step reasoning. For instance, a question like “Which […]
-
TechSurprising Truths That Defy Common Knowledge of RAG
Is a Giant Context Window Really All We Need? Retrieval-Augmented Generation (RAG) has firmly established itself as a core technology in the AI field. It’s a powerful approach that allows LLMs to generate more accurate and reliable answers by tapping into the latest external information, rather than relying solely on pre-trained data. Recently, with the […]
-
TechDeep Dive into Titan: The ‘Test-Time Training’
Genius AIs with a Case of Amnesia Did you know that the “genius” AI models writing your poems and code actually suffer from profound amnesia? It’s a strange paradox. No matter how much information they can process at once, that “memory” is volatile—it evaporates the moment the conversation ends. This is the inherent limitation of […]
-
Insight[CES 2026] Bursting Through the Screen: The Dawn of the ‘Physical AI’ Era
If 2025 was the year Generative AI and software agents proved their value as business models, CES 2026 marked a massive turning point where that intelligence officially expanded into the Physical World. This year’s show floor was not filled with chatbots talking from behind screens, but with robots that actually walk, carry, and work. This […]
-
TechThe Era of AI That Remembers 10 Million Words: 5 Ways ‘Titans’ Will Change the Future
Solving AI’s “Amnesia” If you’ve ever used an AI chatbot, you’ve likely experienced it completely forgetting what you said just moments ago. It feels like the AI has “short-term amnesia,” losing the thread of the conversation and giving irrelevant answers. This isn’t because the AI lacks intelligence; it’s due to a structural limitation of the […]
-
Insight“So, What’s Actually Better?” 5 Key Changes Brought by Generative AI Surveillance
In our last post, we introduced Odin AI, our Generative AI-based video surveillance solution. Since then, we’ve received more questions than expected, mostly centered around one thing: “How is this actually different from existing intelligent CCTV?” To be honest, I had similar questions at first. Terms like “next-level” or “AI-integrated” sound impressive, but it’s hard […]
-
Insight[CEO Interview] 2026: Laon People’s Vision for ‘Survival and the Great Leap Forward’
In the AI industry today, the phrase “the world changes while you sleep” has never felt more literal. With technology cycles being so incredibly short, it’s become common to see yesterday’s cutting-edge tech become obsolete in just a matter of months. In this fast-paced environment, AI companies are locked in a relentless race, barely catching […]
-
ProductManufacturing AX in 2026: How to Get Started with Laon People
“Our company needs to implement Manufacturing AX—but where do we even begin?” Driven by government initiatives supporting Manufacturing AX (AI Transformation), it’s not just tech giants anymore. Small and medium-sized enterprises (SMEs) are increasingly looking toward 2026 as a target year to enhance operational efficiency and quality control through AX. Today, Manufacturing AX has shifted […]