Enterprise AI

Use generative AI safely, even in security-critical enterprise environments!
Built on Upstage's Document AI and Solar LLM, we provide an AI environment that understands your internal documents and connects them to search, analysis, and automation.

KS C&CETEVERSupstage

KS C&C provides Upstage enterprise AI solutions through its partnership with ETEVERS eBT, Upstage's official distributor.

Enterprise AI adoption — why is it so hard?

Enterprises hold a wealth of valuable data, but constraints such as security, unstructured documents, and system integration keep it from turning into real AI use.

Limits of Document-Centric Automation

Time lost to manual work
Too many people tied up in repetitive tasks such as contract review and data entry, leaving little capacity for core work
Slow processing
Delays in document processing and approval ripple into customer service, settlement, and decision-making speed

Limits of Internal Data Use

Unstructured data left unused
Internal documents stored as PDFs, scans, and images sit idle, hard to search, analyze, or use
No way to connect or compare documents
No means to cross-search documents scattered across teams and time, or to track changes between versions

Limits of Data Security & Privacy

Architectures that rely on external transfer
Cloud AI only works by sending internal data outside, making it unsuitable for closed networks or sensitive data
Disconnected from internal systems
External AI solutions don't connect directly to ERP, CRM, or core systems, so fast AI built on the internal data you actually need is impossible

AI Accuracy & Operational Stability

Hallucination risk
Inaccurate AI answers can lead to wrong decisions and compliance issues, with sharp trade-offs between speed, cost, and accuracy
Eroding trust in adoption
Early accuracy problems breed distrust among business users, creating a vicious cycle of declining AI usage

Many enterprises pursue AI adoption, yet hit countless barriers before seeing results in production. Document-centric workflows in particular stall as variability, compliance, and legacy integration issues collide.

Hard-to-automate work
made easy with Upstage.

Before

After

Document Automation

Problem

People tied up in manual review and entry limit both speed and quality

upstage

Automatic classification, structuring, and extraction on upload

Internal Knowledge Data

Problem

80% of enterprise data sleeps in unstructured documents — unsearchable and unanalyzable

upstage

Unstructured data becomes knowledge you can search, compare, and generate from

Security & Compliance

Problem

Privacy laws and regulations mean ongoing security reviews and liability for external AI

upstage

Installed directly on-premises, so you can adopt with confidence and no compliance risk

AI Accuracy & Stability

Problem

Hallucinations and no quality control erode business users' trust in AI

upstage

Source-grounded answers, with guardrails and monitoring for ongoing quality

AI optimized for the enterprise —
Upstage is different.

Upstage connects document parsing, information extraction, and LLM analysis in a single stack, delivering end-to-end AI you can apply to work immediately, without complex integration.

Document AI + LLM

Not fragmented technology —
complete, end-to-end document understanding

  • Document ParseConverts unstructured documents into HTML/Markdown structured data, preserving layout and context (tables, charts, and checkboxes fully recognized)
  • Upstage StudioSchema-based extraction of key data without templates — infers from context as well as explicit information (e.g. delivery deadlines from contract dates)
  • End-to-EndParsing → extraction → LLM analysis completed in one stack using Upstage's own core technology
High Accuracy & Production Performance

Highly efficient generative AI models
optimized for the enterprise

  • 95%+ Accuracy Vision Model10–15%p higher accuracy than competitors across complex document types (insurance claims, customs documents, etc.)
  • Korean-Specialized LLM, Solar Pro70B+-class performance on a single GPU — 70% lower inference cost than GPT-4o and 50% lower on-premises TCO
  • Built for Enterprise Documents50+ document automation projects delivered in Korean enterprises across finance, insurance, logistics, and more
Enterprise Stability

Reliability you can trust,
even in regulated industries

  • Zero-trainingUse immediately with no pre-training or template setup — cuts adoption time from 3–6 months to 2–4 weeks
  • Clear Source CitationShows the source alongside every generated answer, with bounding boxes (recognized areas) and citations
  • Controllable AIAccess control and guardrails govern everything from user data access to output filtering, so AI is used safely
Integration & Scalability

System Integration & Scalability

  • Flexible DeploymentSupports all hardware, from servers to workstations. On-premises deployment blocks data leakage and meets regulations
  • API & Partner EcosystemREST API and Docker containers for solution integration. Proven with 50+ customers including Samsung SDS and JenniferSoft
  • Agentic WorkflowSolar Pro's agentic capabilities autonomously run multi-step tasks such as web search → analysis → document generation

Upstage Enterprise AI Architecture

From document processing and LLMs to business applications and AI operations, Upstage delivers everything an enterprise needs in a single structure.

Model Layer

  • Document Parse

    Structures unstructured documents, recognizing tables, images, and multi-column layouts

  • Document Classify

    Automatically sorts mixed documents by type

  • Information Extract

    Automatically extracts the key information you need from documents

  • Solar LLM

    An enterprise LLM that understands business context

    • GPT-class performance in a compact model
    • Specialized in Korean, English, and Japanese
    • 128K context support
    • Reasoning Mode

Application Layer

upstage Studio

Document Automation Agent Builder

Build, test, and deploy document processing pipelines without code, and combine AI capabilities into document automation agents. Move quickly from prototype to production — no technical expertise required.

Document-Based AI Work Assistant

Upload multiple documents to summarize, translate, compare, and generate new documents. Every answer shows its original source so you can verify the result.

AI Workspace

An AI workflow management and monitoring platform for the enterprise. Easily connect AI models and run agents in your on-premises environment.

Knowledge Collections

Organize internal documents into knowledge bases by team or project

Agent Builder

Create and deploy custom AI Agents without code

Access Control

RBAC/SSO-based data access settings and management

Guardrails

AI response policies and filtering of inappropriate data and output

Security

Runs inside your internal network, blocking external data transfer

From document digitization
to AI-driven operations

We define tasks your business teams can improve right away, and provide scalable solutions that lay the foundation for AI-driven operations across the enterprise.

Digitize Enterprise Assets

Digitization
Classification
Extraction

AI Work Efficiency

Augmentation
  • Search
  • Cross-check
Automation
  • Translation
  • Doc Generation
  • Code Gen (TBU)
Risk Mgmt.
  • De-identification
  • Fraud Detection

AI-Driven Operations

Everyone
works with AI Data drives
decisions Repetitive
work is gone

Upstage AI
Use Cases by Industry

See how Upstage AI is put to work in finance, insurance, healthcare, manufacturing/logistics, and more.

Finance

Problem

Complex financial inquiries and consultation bottlenecks

  • Complex inquiries such as product comparison, rate calculation, and limit lookups are hard to handle with a simple FAQ bot
  • Existing systems lose track of the conversation when customers re-ask or switch context
  • Longer waits for an agent lower satisfaction and raise churn
Solution

RAG-based financial product analysis & consultation assistant

  • Automatically classifies lookup, input, and complex inquiries, keeping context through re-asks and answer correction
  • Vectorizes financial documents with an Embedding Model and generates answers with Solar LLM
  • Connects to the core banking system to calculate and answer balances, rates, and limits in real time
Embedding Model · Financial document vectorizationSolar LLM · Answer generationIntegration with customer systems

Insurance

Problem

Manual bottlenecks in complex claim documents, from intake to data entry

  • Visually checking large volumes of claims, diagnoses, and receipts has its limits
  • Inconsistent formats — fax, low-quality scans, email — slow processing
  • Repetitive manual work causes errors and can degrade data integrity
Solution

Automated claim document processing with Document AI

  • Automatically classifies and digitizes documents received via fax, email, and mobile with Document Parse
  • Extracts key fields such as diagnosis codes, claim amounts, and dates into structured data
  • Automatically enters extracted data into the core insurance system, shortening review time
Document Parse · Multi-channel document recognitionExtraction model · Key field parsingClaims system connector

Manufacturing / Logistics

Problem

Risk of mismatches between package labels and the product DB

  • Manually cross-checking ingredients, nutrition facts, and specs for countless SKUs has its limits
  • Label errors from package redesigns or renewals are hard to catch right away
  • Uncaught errors lead to costly recalls, fines, and consumer claims
Solution

AI-based product information / package cross-validation

  • Automatically extracts ingredients, nutrition facts, and specs from package images
  • Matches extracted data 1:1 against R&D and product team DBs to detect mismatches automatically
  • Stores results in the system and alerts the owner in real time when errors are found
Package image OCRIngredient/spec extraction with Information ExtractAutomatic conversion to structured data

Healthcare

Problem

Manual EMR/HIS entry bottlenecks and unstructured medical records

  • Heavy reliance on manual work to structure scanned images and medical records
  • Risk of input errors, omissions, and privacy standards not being applied
  • No automated way to reflect unstructured records in EMR/HIS immediately
Solution

AI medical records & clinical support

  • Automatically classifies incoming documents and structures key data with extraction models
  • Reads, summarizes, and codes unstructured records using Solar LLM and a general OCR model
  • Loads structured data into HIS (EMR, OCS, LIS, PACS) immediately via a GW server
Classification · Extraction modelsSolar LLM · General OCR modelIntegrated pipeline of 4 AI models

Choose by business purpose:
Upstage AI Pack

Select the AI Pack you need — RAG, DX, or AX — based on your business goals, and apply it to document use and work automation.

RAG

Boosts productivity with summaries, analysis, and report drafts

Cuts processing time to seconds and achieves 90%+ accuracy on complex formats. Automating repetitive report writing lets experts focus on high-value work.

DX

High-accuracy document metadata labeling and data preprocessing

Automatically identifies and extracts key fields such as dates, amounts, and item names from unstructured documents like contracts, medical records, and invoices, based on a schema.

AX

Boosts productivity with internal document summaries, analysis, and comparison

Instantly deploys a document-based conversational QA interface with no extra development. Employees ask in natural language, and answers citing the supporting passages and sources are generated in real time across all internal documents.

Upstage Enterprise AI
delivered by KS C&C

In security-critical environments such as finance, using external cloud-based AI can be restricted. Through its partnership with ETEVERS eBT, KS C&C supplies Upstage's enterprise AI solutions and supports AI adoption that safely uses internal data and documents on-premises.

Provides enterprise AI technology
such as Document AI and Solar LLM

Distribution partner
H/W-integrated solutions

Supplies Upstage solutions and
applies them to your business

AI in security-critical environments
such as finance and the public sector

What KS C&C Provides

Upstage Enterprise AI Supply

Through our partnership with ETEVERS eBT, we provide Upstage's Document AI, Solar LLM, and enterprise AI solutions.

On-Premises AI Adoption

For security-sensitive sectors like finance and the public sector where external cloud use is limited, we support AI that uses data inside your internal network.

Document & Data-Driven AI

We structure your internal unstructured documents and help you search, extract, and analyze the information you need for real work.

Enhancing Existing Automation

We use Upstage's document understanding and LLM technology to extend AI across your existing automation and meet your business needs.

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Put your documents and data to work with AI — start with KS C&C!

Built on Document AI and Solar LLM, Upstage is an enterprise AI solution that structures your internal documents and helps you search, extract, and analyze the information you need for real work.

Through its partnership with ETEVERS eBT, KS C&C provides Upstage solutions and supports building AI environments for real work — from AI adoption in security-critical internal networks to internal document use, document automation, and generative AI.

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