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Business Areas

We cover the full project lifecycle, from business systems and web and mobile apps to cloud infrastructure, data and AI, and operations optimization.

Business Areas in Detail

System Integration

We modernize legacy systems without stopping the business and build enterprise systems that connect the entire workflow end to end.

Scope

  • As-is process assessment and to-be architecture design
  • Phased modernization and integration that keeps legacy systems running
  • Scalable core systems built on microservices and event-driven design
  • End-to-end automation where RPA, APIs, and AI work together
  • Single sign-on (SSO) and fine-grained access control

Key Technologies

  • MSA
  • Event-Driven Architecture
  • Legacy Integration
  • Process Automation
  • SSO·IAM

Web & Mobile App Development

We build web, iOS, and Android from a single codebase and own the product from planning through launch and growth.

Scope

  • Product development from planning and store launch to post-launch improvement
  • Cross-platform architecture that runs iOS, Android, and web from one codebase
  • Rendering strategy (SSR, SSG) tuned for search visibility and first-load speed
  • Experience-driven features such as real-time sync and push notifications
  • LLM-powered search, recommendations, and in-app assistants

Key Technologies

  • Cross-Platform
  • SSR·SEO
  • PWA
  • Real-time Sync
  • LLM Integration

Cloud (AWS) Infrastructure & Operations

We run zero-downtime deployments and full observability on infrastructure managed as code, designing for scale and cost together.

Scope

  • AWS architecture designed for both traffic and cost
  • Infrastructure as code (IaC) and reproducible environments
  • Zero-downtime deployment pipelines (CI/CD)
  • Elastic scaling on containers and serverless
  • Observability that ties together logs, metrics, and traces

Key Technologies

  • IaC
  • CI/CD
  • Container
  • Serverless
  • Observability

Data & AI

We structure your data and business knowledge so AI can cite it as evidence, then put it to work starting with proven use cases.

Scope

  • Data warehouse construction with source data standardization and cleansing
  • AI use cases designed from success metrics
  • Ontology-based modeling of data and business knowledge
  • Internal AI Q&A that cites its sources (RAG, NL2SQL)
  • AI agent integration with access and approval controls

Key Technologies

  • Data Warehouse
  • ETL·ELT
  • RAG
  • GraphRAG
  • NL2SQL
  • Ontology
  • AI Agent·MCP

Operations Optimization

We go beyond incident response to keep improving live systems against performance, cost, and quality metrics.

Scope

  • Bottleneck analysis with query and cache tuning
  • Usage-based cloud cost optimization
  • SLO-based monitoring and alerts that catch issues first
  • Answer quality and token cost management for AI services (LLMOps)
  • Security patches and dependency updates on a regular cadence

Key Technologies

  • Performance Tuning
  • Cost Optimization
  • APM
  • SRE
  • LLMOps

Development Process

Every project follows six stages, and we review the results of each stage with you.

  1. 1

    Analysis

    We review your current workflows and requirements and define the project scope and goals.

  2. 2

    Design

    We design the system architecture, data model, and screens, and review them with you.

  3. 3

    Development

    We build features incrementally according to the design and share progress regularly.

  4. 4

    Testing

    Functional, integration, and performance tests confirm that the requirements are met and quality holds.

  5. 5

    Deployment

    We set up the production environment and release the service through a defined deployment procedure.

  6. 6

    Operations

    We monitor the service and continue with incident response and improvements.

Our Key Technologies

  • RAG
  • GraphRAG
  • NL2SQL
  • Ontology
  • AI Agent
  • MCP
  • Data Warehouse
  • Knowledge Graph
  • ETL·ELT
  • LLMOps
  • MSA
  • Event-Driven Architecture
  • Cloud Native
  • Serverless
  • IaC
  • CI/CD
  • Observability
  • Cross-Platform

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