AI Service Strategy
- Identifying AI-applicable tasks
- User & workflow analysis
- Technical & data feasibility review
- Investment scope & phased roadmap
AI SERVICE ENGINEERING & BUSINESS
We design AI service models —
then build and operate them ourselves.
KBICT is a service-model engineering company. We plan AI services, design data and models, build PoCs, MVPs and cloud platforms — and keep them running.
The portfolio below is not a roadmap. These services are live today — open one and try it.
Strategy to Operation
From planning to operations
AI · Data · Cloud
Integrated capabilities
Live Services
Built and operated by us
// FROM AI IDEA TO AI BUSINESS
We bridge the gap between AI technology and business.
Many AI projects stall at the proof-of-technology stage. KBICT analyzes your business problems, users, data, system environment, and commercial viability together — and turns AI technology into a service structure you can actually deploy and operate. And we don't stop at recommendations: we build and operate the services ourselves.
AI Product Engineering
- PoC & MVP development
- Web, mobile, Windows & embedded integration
- Integration with legacy systems & external platforms
- On-premise & subscription product design
AI Platform & Operations
- AI model, data & API integration
- MLOps & LLMOps adoption
- Monitoring, logging & quality management
- Cloud & closed-network operations design
AI Business Enablement
- Service packaging
- Pricing & adoption model design
- White-label & licensing models
- Transition to operations & maintenance services
// AI BUSINESS LIFECYCLE
One AI service lifecycle — from idea to operations
Before any list of technologies, this is how KBICT delivers AI services.
-
01
DISCOVER — Opportunity Discovery
- Analyzing current workflows & problems
- Selecting AI application candidates
- Checking data availability
- Expected impact & risk analysis
OutputsAI initiative definition · Feasibility analysis · Execution roadmap
-
02
DESIGN — Service Design
- User scenarios
- Data, model & system architecture
- Security & operations policies
- PoC & MVP scope definition
OutputsService model · UX flows · Technical architecture · Validation plan
-
03
BUILD — Product Implementation
- AI model & application development
- Data pipeline engineering
- API & legacy system integration
- Testing, security & quality assurance
OutputsPoC · MVP · Production platform · APIs · Operations documentation
-
04
SCALE — Operations & Commercialization
- Cloud & on-premise deployment
- Model & service monitoring
- Feedback-driven improvement
- Transition to subscription, licensing & managed services
OutputsOperations framework · Quality metrics · Improvement roadmap · Service commercialization
// AI SERVICES
AI service models and engineering capabilities
We don't stop at strategy consulting or model development. We integrate workflows, data, applications, and infrastructure to build AI services people actually use.
SERVICE 01
AI Service Strategy & Consulting
- AI initiative discovery
- Business & requirements analysis
- Data & technical feasibility review
- ROI & phased investment planning
- AI governance & operations policy
- SW function point & project sizing support
SERVICE 02
Generative AI & Agentic AI
- Organization-specific knowledge search
- RAG-based document Q&A
- AI agents for workflow automation
- Automated generation of reports, proposals & inspection results
- Document classification, summarization & extraction
- Human-in-the-loop approval workflows
SERVICE 03
Vision AI · Edge AI · Drone AI
- Object detection, classification & tracking
- Fire, safety & anomaly detection
- Drone imagery & sensor data analysis
- Real-time video stream processing
- AI inference on edge devices
- Training data curation, refinement & validation
SERVICE 04
Data · Integration · GeoAI
- Data collection, cleansing & transformation
- API gateway & system integration
- Message & protocol analysis
- Real-time event data processing
- GIS, spatial data & map visualization
- Data standardization & quality management
SERVICE 05
AI Quality · Security Engineering
- Source code quality analysis
- SAST · DAST · SCA
- Open-source vulnerability & license management
- SBOM generation & management
- Test automation
- AI model, prompt & response quality evaluation
- Audit trails & quality dashboards
SERVICE 06
Cloud Native · MLOps · LLMOps
- Serverless & container platforms
- Model deployment & versioning
- Prompt & evaluation data management
- Logs, metrics & tracing
- CI/CD & DevSecOps
- Cloud, on-premise & closed-network deployment
- Backup, disaster recovery (DR) & operations design
// LIVE SERVICES
Built by us. Running today.
Strategy, build, operation — these services are the proof. Each one is live; open it and try it.
KRAG-LLM
Local LLM + RAG Knowledge Q&A
Ask questions against your own documents and watch the reasoning unfold — a real-time log shows each processing step, and every answer comes with its source documents.
- Local LLM inference without external APIs
- RAG grounding on your documents
- Real-time processing log
- Answers with cited source documents
K-UCAP
Unmanned Systems Standards Conformance Evaluation Platform
A web-based platform that simulates, transmits, receives, analyzes, and visualizes STANAG/MND 4586-based unmanned systems messages to evaluate interoperability and standards conformance.
- Standard message model management
- Message generation & TX/RX simulation
- Scenario-based testing
- Protocol & field analysis
- Error & conformance verdicts
- Test results & evidence management
Login required
KGENAIDATA
Synthetic Data Quality Verification Platform
Verify the quality of synthetic data for AI training before it reaches your models.
- Synthetic data quality verification
- Quality metrics for AI training data
- Verification reports
- Secure login-based access
Login required
KQA-HUB
AI-Powered SW Quality Management Platform
A quality management hub that unifies requirements, source code, tests, defects, quality metrics, and deliverables — and uses AI to automate inspection and analysis.
- Requirements–test traceability
- Static analysis & quality metrics
- Automated functional checks
- Defect & resolution tracking
- Automated quality reporting
- Project quality dashboard
AdoptionOn-premise · SaaS · Per-project quality management
Open service
KWEBSCM
Web Security & Vulnerability Management Platform
Assess the security posture of web applications and open-source components, and systematically manage vulnerabilities, remediation plans, and re-inspection results.
- Automated web security checks
- SAST · DAST · SCA integration
- OWASP-based diagnostics
- Open-source vulnerability & license analysis
- Remediation & re-inspection history
- Security reports
KAI DRONE EDU
Drone AI Data, Training & Education Service
Collect and refine drone imagery and flight data, train object detection and situational awareness models — including a simulation that estimates expected flight characteristics from the drone's motor, propeller, and payload configuration.
- Drone dataset construction
- Labeling & data validation
- Object detection model training
- Edge inference
- Flight characteristics simulation
- Educational content management
// INDUSTRY USE CASES
AI services that understand real-world problems
Public & Defense
- AI knowledge search in closed & internal networks
- Data integration & message analysis
- Unmanned systems interoperability evaluation
- SW quality & security evidence management
Disaster & Safety
- Drone & CCTV video analytics
- Fire & hazard detection
- Real-time field photo & video sharing
- Map-based situation visualization
Enterprise & SW Teams
- SW quality management automation
- Web & open-source vulnerability management
- In-house document RAG
- AI agents for repetitive work
Facilities & Spatial Data
- GIS-based facility management
- Spatial data standardization
- Real-time location & event analytics
- Digital map-based business services
// TECHNOLOGY ARCHITECTURE
Layered Technology Architecture
Technologies we can apply to service delivery, organized by layer. Each layer plays a distinct role from design to operations.
Experience & Application
Builds the screens and business applications users actually touch.
ReactTypeScriptNext.js
Android · KotlinC# · .NET · WPFC++ · Qt
Java · Spring Boot
AI & Agent
Implements the intelligence of the service through model training, inference, and AI agent workflows.
PythonPyTorchONNX RuntimeOpenCV
YOLO-based modelsLLMRAGVector Search
AI Agent WorkflowPrompt EvaluationHuman-in-the-loop
Data & Integration
Handles data storage, processing, and inter-system connectivity.
PostgreSQLMySQLRedisVector Database
Object StorageREST APIWebSocketgRPC
MQTTEvent-driven ArchitectureGIS · Cesium · Mapsui
Cloud & Platform
Forms the infrastructure and platform environment where services are deployed and operated.
Naver CloudFirebaseAWSGCP
DockerKubernetesServerlessAPI Gateway
CI/CDInfrastructure as Code
Quality · Security · Observability
Ensures quality, security, and operational visibility across the entire service lifecycle.
SAST · DAST · SCAOWASPSBOM · CycloneDX
SonarQubePlaywrightAutomated Testing
OpenTelemetryPrometheus · GrafanaAudit Log
// ENGAGEMENT MODEL
AI adoption models that fit where you are
STEP 1
Consulting & Discovery
AI initiative discovery, feasibility review, service model & execution planning
STEP 2
PoC & MVP
Rapidly validate core hypotheses and deliver a minimum viable product real users can evaluate
STEP 3
Platform Build
Dedicated AI platforms and business services built for your environment and security policies
STEP 4
SaaS & Managed Service
Subscription services, white-label, licensing, operations & monitoring, and continuous improvement
// CORE VALUES
Core Values
We consider the security, quality, and operational constraints of public, defense, and industrial environments from the design stage.
01
Trust
We build trust with verifiable results, transparent progress, and traceable deliverables.
02
Craftsmanship
We finish everything — from service policies to code and operations documentation — to a standard that works in the field.
03
Communication
We understand your workflows and constraints first, and explain in actionable options — not technical jargon.
04
Agility
We start with small validations, apply what we learn fast, and scale services and products in phases.
// CONTACT
Turn your AI idea into a workable service.
You don't need to know the exact technology yet. Tell us about your current work, the data you have, and the problem you want to solve — we'll design the right validation scope together.
- Company
- KB-ICT Co., Ltd.
- CEO
- Kyubeom Choi
- Headquarters
- V729, 26F, 165 Convensia-daero, Yeonsu-gu, Incheon, Republic of Korea
(POSCO Tower Songdo) - kyubeom@kbict.com
- Fax
- 0504-097-5011