We design and build AI that fits your environment.
Not just adopting AI, but making it usable in your real work.
Every company needs a different AI. Some need an AI environment that never sends data outside, while others need AI that searches vast internal documents or automates repetitive work.
We consult on AI adoption tailored to your business environment and goals — from hardware and software selection to AI model setup, internal data integration, and business system integration — providing an AI environment built for practical use.
From local AI and RAG-based knowledge search to AI agents and AI security solutions. We prioritize the outcomes you need over the technology itself.
WHAT WE OFFER
Key Services
We offer four directions depending on your adoption goal. Each service can run standalone or be connected together.
01
LOCAL AI
Local AI & On-Premises AI Setup
Custom AI that runs directly in your environment
We reduce dependence on external cloud services and build AI that runs on the PCs, workstations, and servers your company manages.
We review hardware that fits your AI model characteristics and business goals, and support the technology needed for adoption — GPU and memory configuration, model selection, runtime environment installation, and performance optimization.
Depending on your security policy and operating conditions, we can also review environments with restricted internet connectivity or air-gapped networks.
Hardware & server spec consulting for your AI goals
Local LLM model selection & installation
AI runtime environment setup (Ollama, vLLM, etc.)
Model performance & inference speed optimization
Hybrid AI design combining external APIs and local models
Security configuration & maintenance support for your environment
AI that understands and answers from your company’s documents
We connect your accumulated manuals, work guidelines, technical documents, reports, and various materials to AI. Instead of searching documents one by one, employees can ask questions in natural language and get answers based on relevant materials.
RAG (Retrieval-Augmented Generation) is a technology that retrieves data your company holds and uses it in AI answers. It connects internal knowledge to AI work without retraining models, and can be configured to update search data as documents change.
Integration of internal documents (PDF, HWP, Word, text)
Document collection, cleaning & chunking pipeline
Vector-database-based knowledge search
AI Q&A using search results
Providing answer rationale and source documents
Data updates & search quality improvement as documents change
Local AI and external AI model integration as needed
We don’t leave AI as a simple conversational tool — we connect it to your real work processes.
We design AI agents that query data, write documents, call system APIs, and handle repetitive tasks according to defined procedures. We clearly define the tools and permissions your work needs, and apply approval steps for critical tasks to build a controllable automation environment.
Repetitive work analysis & AI automation consulting
Integration with internal databases and existing systems
MCP-based AI tool integration
Automation of research, analysis, summarization & report writing
AI agent development aligned with your workflows
Permission management, task logging & approval process design
We analyze security with AI and support response too.
LogOnAI is an AI-based security solution that analyzes logs collected from your systems with AI to identify security threats and support response.
Beyond simple log storage and retrieval, it analyzes logs from various systems, understands threat situations, and suggests response plans. Depending on configuration, it can combine security-rule-based blocking with AI analysis and perform response tasks within authorized permission scopes.
Companies that can’t send confidential documents and internal data to external AI services
Companies that want to run AI on their own servers
Companies that want to search internal documents and work knowledge with AI
Companies that want to reduce time spent on repetitive work and report writing with AI
Companies that want to connect AI features to existing systems
Companies that want to build AI-based security analysis and response systems
FROM SETUP TO OPERATION
With you from adoption to operation
AI adoption isn’t complete just by installing the right model. It must deliver performance suitable for real work, connect with existing systems, and operate stably.
1
Consulting & Requirements Analysis
We review business goals, security requirements, user counts, and data environment.
2
Technical Review & Design
We propose suitable models, hardware, software configuration, and integration approaches.
3
Setup & Validation
We build the AI runtime environment and validate results with real business data and scenarios.
4
Operation & Enhancement
We provide user training and operation guides, and support performance improvements and feature expansion as needed.
NEXT STEP
The AI that fits your company — where should you start?
Not every company needs the same AI. What matters is choosing the AI that fits your environment and goals, not just adopting the latest model. From local AI setup to internal knowledge search, workflow automation, and AI security — we’ll find a realistic setup plan that fits your goals and budget.