Business

Cloud-based Generative AI

Saltlux is the best company for generative AI, even in a cloud environment
Cloud service and infrastructure-based generative AI service construction business

  • #Cloud
  • #AWS
  • #Azure
  • #Generative AI
  • #Large Language Model
  • #AlaaS

Experience Saltlux's innovative generative AI service
in a cloud environment.

Saltlux, the first company to develop the large language model (LLM)  in Korea, not only has unique generative AI and artificial intelligence technologies, but also has strategic partnerships with AWS and NHN Cloud.
Thereby, Saltlux supports prompt and safe construction of generative AI and artificial intelligence services in a cloud environment.
Saltlux creates unique values for its all corporate and individual customers by combining its accumulated technologies and know-how in constructing innovative solutions using generative AI technologies.

Why is cloud-based generative AI so special?

  • 01

    Top-class technologies, know-how and rich construction experience

    Saltlux provides advanced generative AI models and solutions based on its technologies and project execution experience accumulated over a long period. Experience the top-class technologies and know-how of Saltlux in a cloud environment.

  • 02

    Prompt construction using cloud native services

    Various cloud native services and solutions are actively utilized.  The combination of necessary services, including DBs, storage, containers and various GenAl services as modules significantly reduces the construction period and increase stability and reliability based on proven solutions.

  • 03

    Flexible and fast cloud infrastructure construction and expansion

    Saltlux can construct and expand AI services promptly using its proven cloud infrastructure, including AWS and NHN cloud, in accordance with customers’ demands.

  • 04

    Cost efficiency achieved through cloud optimization

    IT infrastructure construction and operation costs can be reduced through services optimized for a cloud environment. Use AI services at a more reasonable cost through a usage-based charging policy.

  • 05

    Safe and reliable cloud service

    Enterprise data are protected safely through powerful security measures cloud-based policies providing a high level of availability.

  • 06

    One stop service using a total solution

    The implementation of customized AI services is supported through a total solution covering the entire process from consulting to construction and operations required for the introduction of generative AI.

  • 01

    세계적 기업과 함께한 인공지능 20년

    솔트룩스는 지난 20년간 자연어처리 원천기술에 기반한 인공지능 플랫폼 구축과 비정형 데이터 분석 및 빅데이터 플랫폼 등 전세계 굴지의 기업들과 업무협력을 통해 성장해 왔으며, 대한민국 인공지능 시장을 선도하고 있습니다.

  • 02

    MLOps와 AIaaS 체계 제공

    솔트룩스가 제공하는 모든 엔터프라이즈 AI 솔루션은 학습데이터 구축과 맞춤형 모델링, 액티브 및 트랜스퍼 러닝이 가능한 MLOps 도구를 제공합니다. 또한, 솔트룩스의 AIaaS 체계는 생성된 AI 모델의 자동 도커라이즈 및 쿠커네티스 등의 MSA 환경 기반 배포가 가능한 커버넌스 체계를 제공합니다.

  • 03

    '엔터프라이즈 환경에 적합한 아키텍처

    솔트룩스는 2천만 명 이상의 동시 사용자 대응이 가능한 세계 최고 수준의 대화형 인공지능 기술과 빅데이터 증강 분석 원천기술을 보유하고 있습니다. 솔트룩스 만의 탁월한 엔터프라이즈 AI 아키텍처는 하이브라이드 클라우드 대응 뿐만 아니라 온프레미스 상의 초대규모 병렬분산 체계를 제공합니다.

  • 04

    현장과 데이터 중심의 AI 사업 컨설팅

    국내 100대 기업 중 80대 기업이 사용하는 솔트룩스의 기술과 제품은 고객 현장의 문제를 이해하고 데이터와 AI기술을 통해서 이를 해결하고자 하는 노력으로 완성되었습니다. 솔트룩스는 오랜 경험과 성공사례를 통해 확보된 컨설팅 방법론에 기반해 기업고객의 디지털 전환, 이를 넘어 AI 전환을 위한 고객 컨설팅을 제공합니다.

  • 05

    복잡한 사업 대응을 위한 글로벌 협력 네트워크

    딜로이트와 PWC, 아마존과 구글, 마이크로소프트 등 세계적 기업들과의 협력 경험 및 파트너십을 보유하고 있습니다.
    또한, 지역별로 DNP, 온토텍스트, 베이시스 테크놀로지 등 20여 세계적 기술 파트너들과 함께 하고 있습니다.

  • 06

    세계적 기업들과의 협력 경험 및 파트너십 보유

    한국어, 영어, 일어 등을 포함한 다국어 형태소 분석, 구문 분석, 개체명 인식, 이벤트 추출 엔진과 같은 자연어 처리 기술을 확보해 왔습니다. 또한, 다국어 자동번역과 검색, 텍스트 마이닝과 글로벌 고객응대가 가능한 다국어 챗봇에 이르기 까지 세계적 기업만을 위한 엔터프라이즈 AI 솔루션을 제공합니다.

Introduction to technologies

  • 01Utilization of various large language models (LLM)

    • Utilization of various large language models (LLM)

      1. LUXIA, Saltlux’s LLM, as well as various other LLMs, which can be utilized through the cloud and
        the MLOps environment, are provided.
      2. These LLMs can be used selectively in accordance with the purpose of service in order to
        construct a flexible and expandable system.
  • 02Model learning through large-scale data processing

  • 03Stable response to rapid traffic variation

    • Stable response to rapid traffic variation

      1. Since resource expansion and automatic scaling are possible in the cloud,
        it is possible to flexibly respond to rapid changes within service demands.
      2. Compared to on-premise environments, the services provide operating stability while preventing resource wastage at peak times.
  • 04Data linkage for RAG (Retrieval-Augmented Generation)

    • Data linkage for RAG (Retrieval-Augmented Generation)

      1. When it is intended to link internal enterprise data with external data collected in real time and
        create a distributed architecture for a cloud through an LLM, data can be efficiently linked and
        managed without a delay by using a cloud.
  • 05Highly available services and distribution automation

    • Highly available services and distribution automation

      1. For services that require operation 24/7, or are intended for general users,
        effective operation management is possible by utilizing highly available and automated CI/CD systems
        embedded in the cloud.
      2. Cross regional distribution can also be useful when targeting global services.
  • 06Collaboration and co-work

    • Collaboration and co-work

      1. For services involving multiple businesses and institutions, cloud-based collaboration tools are convenient.
      2. It is easy to share data and resources and provides excellent accessibility.

Cloud service layers

Cloud service layers for generative AI construction

Generative AI service is constructed easily and quickly using cloud service infrastructure, foundation models and AI service platforms specialized in generative AI service construction.

Service

  • 01Productivity improvement through generative AI service

    Accelerate your work and boost productivity with a variety of pre-built generative AI services.

  • 02Application development environment using generative AI

    Easily and rapidly build generative AI applications based on various foundation models.

  • 03Generative AI model learning and service optimization infrastructure

    Fully managed service with optimized infrastructure and MLOps tools for training, deploying, and serving AI models.

Business fields

  • AI search and personalization recommendations

    AI search and recommendation engines for enterprise solutions, such as groupware, document centralization, knowledge management systems within the enterprise and customer services such as online shopping malls.

    1. #Samsung Heavy Industries
    2. #STX Engine
  • Customer service (AICC)

    The 24/7 AI call center (AICC) and ChatBots for consultation about products and services and response to customer complaints

    1. #AICC
    2. #Samsung Electronics
    3. #ANA
    4. #BMW
  • Big data collection and analysis

    Enterprise strategic decision making is supported by collecting, converting, integrating and analyzing data in various formats from the deep web and legacies.

    1. #Samsung Electronics
    2. #Hyundai
  • Product information intelligence and Q&A

    A service to easily find products that customers want and to respond to inquiries regarding such products through AI technologies

    1. #NH Bank
    2. #Korea Investment & Securities Co., Ltd.
    3. #KB Kookmin Bank
  • Intelligent business (recruitment, personnel management, translation etc.)

    Intelligent business, including recruitment, personnel management, translation, etc., to save enterprise operation costs and improve work efficiency through AI technologies

    1. #Hyundai BNGSTEEL
    2. #Hyundai Motor Company
  • Legal and patent, research intellectualization

    Construction of AI learning data reflecting the characteristics of professional fields, including laws, patents and research, and the provision of a custom AI model

    1. #Kim & Chang
    2. #Korea Institute of Patent Information

Reference

  • In-depth Q&A service

    KT

    General knowledge information by linking in-depth QA to KT Giga Genie Intelligent analysis

  • Intelligent analysis

    Hyundai Motor Group

    Forecasting model for determining soundness by diagnosing vehicle faults Samsung Electronics North America A/S support

  • Samsung Electronics North America A/S support

    Samsung Electronics

    Construction of a U.S and Canada IoT-based AS consultation support system

  • Data Science platform

    LG

    Data-driven trend analysis of emerging technologies through data collection and cognitive analytics.

  • AI cloud co-work

    DNP

    AICC solutions and cloud business development Contract analysis

  • Contract analysis

    PWC

    Automatic contract analysis