S2W AI Intelligence Platform. A safe enterprise tailored AI platform based on RAG and sLLM technology. It centralizes all structured and unstructured internal data to generate the fact-based answers and data in response to user queries.
- SAIP Overview
- Key Features
- Use Cases
The S2W AI Platform, SAIP, functions as a foundational model for industry-specific Large Language Models (LLMs). It is built upon a secure design tailored to meet the security requirements of customers. S2W effectively addresses issues related to the security and reliability of generative AI, such as data breaches and the use of information from dubious sources, by employing a variety of AI technologies including Retrieval Augmented Generation (RAG) and Role-Based Access Control (RBAC).
A Large Language Model (LLM) is a pre-trained artificial intelligence model that can perform a wide range of Natural Language Processing (NLP) tasks such as summarization, translation, prediction, and generation, based on extensive datasets. An Enterprise LLM is a specialized version of LLM designed for business environments, enabling tasks such as workflow automation, customer service enhancement, and deriving insights from data.
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Accessibility to Extensive KnowledgeAccess not only to the data within the company through the Knowledge Base but also to the most recent information.
Possesses a wide range of capabilities and expertise in preprocessing unstructured data. -
Semantic Search EngineOur search engine goes beyond traditional keyword-matching methods, instead, it comprehensively grasps user intent and understands contextual meaning to provide search results based on semantic relevance.
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Security Enhancement ModelWe implement an optimized Large Language Model (LLM) construction and support system by leveraging architecture and data security technologies tailored to the security standards of enterprises.
Our specialized security model is designed to anticipate and mitigate challenges related to perceptual issues and security incidents.
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Immediate Information RetrievalAccessing the extensive knowledge stored in the Language Model (LLM), our system enables employees to instantly retrieve relevant information, thereby enhancing productivity.
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Task AutomationOur system automates repetitive tasks such as data input, report generation, or email responses, allowing manpower to be strategically deployed for more critical responsibilities.
It provides information for strategic decision-making and generates comprehensive reports and summaries to enhance overall business planning. -
Efficient AnalysisEnhancing the efficiency of analyzing large datasets and extracting insights, our system streamlines data processing and decision-making processes, fostering a more effective operational environment.
Hyundai Steel, established in 1953 as South Korea's first steel company and a key player in the nation's steel industry, will integrate SAIP into its internal knowledge information platform, HIP (Hyundai-steel Intelligence Platform), starting from May 2024. This integration aims to further enhance the company's operations and technological capabilities.
HIP is the first instance of utilizing an AI platform in the steelmaking and refining sector with LLM (Large Language Models).
Leveraging unstructured data processing expertise from S2W, a big data system tailored for the steel industry has been built. This system utilizes an ontology-based SAIP to provide accurate responses, combining a secure structure with Retrieval-Augmented Generation (RAG) to protect against data breaches and internal threats, ensuring both accuracy and safety.
HIP is a generative AI technology platform accessible to all Hyundai Steel employees. It supports the provision of knowledge information systems to its employees, improves efficiency in internal document searches, and supports employee tasks and enhances efficiency through a management support chatbot.