Blog
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InsightVectorGraphNet: Breaking the Limits of Pixels
The Latent Value of Dormant Drawing Data In the warehouses of the AEC (Architecture, Engineering, and Construction) industry lie vast amounts of 2D CAD drawings accumulated over decades. Most of these valuable assets exist as PDFs, making them difficult to integrate into modern digital workflows like Building Information Modeling (BIM). Until now, the only way […]
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TechColPali: Ending the Frustration of PDF Search
If the information is clearly inside a PDF, why can’t we find it? Most of us have experienced this frustration at least once trying to locate a specific number in a PDF report filled with complex tables and charts, or searching for a key clause in a scanned contract, only to come up empty-handed. Even […]
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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. […]
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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 […]
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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 […]
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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 […]
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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 […]
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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 […]
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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 […]
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