AI 네이티브 개발로 속도와 품질을 동시에
자체 AI 제품 운영 경험과 AI 컨설팅 실적을 바탕으로, 빠른 출시와 높은 품질을 함께 제공합니다.
AI 기반 개발 경쟁력
기획, 구현, 테스트, 운영 전 과정에 AI를 적용해 실행 속도를 높였습니다.
AI-enabled delivery ratio
90%+
We embed AI in planning, coding, test design, and documentation workflows.
Fastest launch
1 month
Clear MVP scope projects can be shipped in about one month.
Delivery efficiency
Up to 2.5x
Reusable patterns and in-house AI know-how improve implementation velocity.
Quality control
Standardized
Code review, automated tests, and monitoring are mandatory steps.
Execution Know-how from In-house AI Products
We transfer lessons from building and operating our own AI products to client delivery.
- Real incident patterns and fixes are integrated into delivery templates.
- Performance, cost, and quality are optimized together.
- Proven architecture shortens the design phase.
Strong AI Consulting Track Record
We design for adoption, not just PoC completion, with business and governance alignment.
- We prioritize use cases by ROI and feasibility.
- We include governance and security in the rollout plan.
- We support training and operational onboarding.
AI-Integrated Engineering Process
We run AI-assisted delivery from requirements to testing with clear quality gates.
- AI-assisted implementation and test-case design are standardized.
- E2E tests and observability maintain release quality.
- Short feedback cycles improve post-release outcomes.
최단 1개월, 600만 엔부터
요건이 명확한 MVP는 1개월 내 출시를 목표로 진행하며, 출시 후 개선까지 지원합니다.
AI 드리븐 개발 서비스
개발 속도, 품질, 비용 효율을 동시에 개선하는 전달 모델입니다.
React / Next.js 웹 개발
요구 정의부터 운영까지 일관되게 지원하며, KPI 중심 설계로 비즈니스 성과에 연결되는 웹 서비스를 구축합니다.
We define UI, API, and operation requirements together before development to reduce rework and speed up delivery.
After launch, we keep improving conversion, speed, and retention through measurable iteration.
주요 범위
- Next.js (App Router) / React / TypeScript implementation
- Admin panel, account system, and payment integrations
- SEO and Core Web Vitals optimization
- Review, testing, and delivery standardization
iPhone 앱 개발 (Swift / SwiftUI)
요건 정의, 구현, App Store 출시, 개선 운영까지 iPhone 앱 개발 전 과정을 지원합니다.
We optimize native UX, offline behavior, and API integration based on real usage patterns.
We support quality control and release management with crash analysis and retention metrics.
주요 범위
- Swift / SwiftUI app development and refactoring
- Auth, payment, push, location, and camera integration
- API design and backend collaboration
- TestFlight operation and App Store submission support
AI 도입 컨설팅
PoC에서 멈추지 않도록 도입 우선순위부터 운영 정착까지 실무 중심으로 지원합니다.
We prioritize AI initiatives by ROI and feasibility to avoid over-scoped projects.
We design governance, security, and operation models for practical company-wide adoption.
주요 범위
- AI roadmap planning and prioritization
- Prompt design and governance policy development
- PoC design and measurable validation setup
- Operational onboarding and internal enablement
AI 활용 시스템 개발
기존 업무 흐름과 연계된 실운영 수준의 AI 시스템을 설계·구축합니다.
We build RAG, workflow automation, and data integrations with access control and auditability.
We optimize not only model quality but also latency, cost, and operational reliability.
주요 범위
- RAG and internal knowledge assistant implementation
- Document generation, review, and classification automation
- Enterprise API integration and workflow orchestration
- Monitoring, audit logging, and cost optimization
선택받는 이유
AI 제품 운영 경험과 컨설팅 실적을 기반으로 실행 중심의 서비스를 제공합니다.
KPI-First Architecture
We design systems backward from business KPIs such as conversion, retention, and operational efficiency.
- KPI-to-feature mapping is defined at project start.
- Measurement and dashboard setup are included in implementation.
- Prioritization is based on expected impact.
Implementation-Ready Requirement Definition
We define screens, data structures, and operational flow before coding starts.
- UI and API specs are created together.
- Exception handling and role-based scenarios are documented.
- Future extensibility is considered in domain design.
Speed with Reliable Quality
Fast iteration is combined with review, testing, and monitoring standards.
- Weekly release planning with clear ownership.
- Design and code review checklists are standardized.
- Root-cause and prevention flow is part of operations.
Adoption-Focused Delivery
We support training and handover so solutions are used in day-to-day operations.
- Administrator and end-user guides are prepared.
- Initial operational support and Q&A process are set up.
- Improvement backlog is reviewed in regular sessions.
제공 프로세스
일반적인 기간과 당사의 AI 가속형 기간을 함께 표시합니다.
Phase 01
Current-State Assessment
Market average: 2-4 weeks
Our speed: 3-5 business days
Analyze systems, workflows, and data quality to define priority issues.
- Assessment report
- Prioritized issue list
- Initial roadmap
Phase 02
Requirements and Design
Market average: 3-6 weeks
Our speed: 1-2 weeks
Define functional and non-functional requirements with operation design.
- Requirement spec
- UI/API/data design
- Test strategy
Phase 03
Prototype / PoC
Market average: 3-5 weeks
Our speed: around 1 week
Validate high-risk assumptions and lock implementation direction.
- Prototype
- Technical decision log
- PoC evaluation
Phase 04
Build and QA
Market average: 12-24 weeks
Our speed: 4-12 weeks
Implement in short cycles with quality gates through review and tests.
- Production-ready application
- Test suite
- Monitoring setup
Phase 05
Release and Enablement
Market average: 2-4 weeks
Our speed: 3-7 business days
Plan launch, train teams, and establish operation procedures.
- Release plan
- Operation manuals
- Support workflow
Phase 06
Continuous Improvement
Market average: monthly cycle
Our speed: weekly cycle
Run KPI reviews and prioritize ongoing enhancements.
- KPI report
- Improvement backlog
- Quarterly roadmap
기간은 요구사항 복잡도, 외부 연계, 승인 절차에 따라 달라질 수 있습니다.
기간·비용 샘플 플랜
대표 플랜 기준입니다. 명확한 MVP는 1개월/600만 엔부터 시작할 수 있습니다.
Fast Launch
MVP / small-to-mid business app
Focus on core features and release quickly to validate market response.
From 1 month
600만 엔부터(세전)
PM x1 / Full-stack x2 / AI+QA x1
- Intensive requirement workshop
- Core flows implementation
- Auth, admin panel, analytics setup
- Launch support and initial operation guide
Growth Delivery
Service refresh / mid-scale expansion
Modernize existing assets while improving architecture and operations.
Around 3 months
JPY 12,000,000-20,000,000 (excl. tax)
PM x1 / Frontend x2 / Backend x2 / QA x1
- System assessment and migration plan
- UI/API redesign and operational improvements
- E2E test and monitoring setup
- Improvement cycle enablement
Enterprise Program
Large multi-department delivery
Roll out in phases with governance and security controls for enterprise scale.
Around 6 months
JPY 30,000,000-60,000,000 (excl. tax)
Program PM x1 / Tech lead x1 / Engineers x4-6 / QA x2 / AI consultant x1
- Enterprise architecture and phased rollout design
- Audit log and permission control implementation
- Cross-team training and governance setup
- Post-launch optimization roadmap
초기 산정 기준의 개략 견적이며 인프라/외부 서비스 비용은 별도입니다.
품질·보안·운영 체계
출시 이후까지 고려한 품질 및 거버넌스 체계를 기본 제공하고 있습니다.
Quality Assurance
Unit, integration, and E2E tests are built into delivery from the beginning.
Security
Access control, audit logs, and vulnerability management are standardized.
Operational Monitoring
Alert thresholds and incident response runbooks are prepared before release.
Cost Optimization
Cloud cost and performance are continuously monitored and optimized.
Documentation
Design decisions and operation procedures are kept maintainable for handover.
Improvement Management
KPI-based reviews drive prioritization and ongoing feature refinement.
도입 사례
서비스 라인별 3개 사례로 실제 성과를 보여드립니다.
React / Next.js Development Cases
Three examples of web product delivery and modernization.
B2B Order SaaS Frontend Redesign
Trading SaaS Company
Unified ordering workflow and reduced manual processing time.
과제
- Complex UI flow
- Frequent input errors
대응
- Workflow-driven UI redesign
- Type-safe form architecture
성과
- 42% faster input
- 35% fewer inquiries
기술 요소
E-commerce Performance Optimization
D2C Brand
Improved page speed and conversion during campaign peaks.
과제
- Slow mobile pages
- Limited analytics
대응
- Rendering optimization
- Measurement redesign
성과
- LCP improved to 1.7s
- 1.6x mobile CVR
기술 요소
Legacy Portal Modernization
Education Service Company
Migrated legacy modules without downtime.
과제
- No downtime requirement
- Data consistency
대응
- Phased migration
- Operational automation
성과
- Zero downtime migration
- 55% less manual operation
기술 요소
iPhone App Development Cases
Examples across field operations, EdTech, and healthcare.
Field Work Reporting App
Maintenance Service Company
Digitized reporting and reduced back-office workload.
과제
- Paper-based operations
- Input quality issues
대응
- Offline-first mobile flow
- Photo/location integration
성과
- 50% faster reporting
- Defect rate dropped to 6%
기술 요소
Learning App Retention Improvement
EdTech Provider
Redesigned onboarding and notifications for retention growth.
과제
- Low retention
- Unclear user behavior
대응
- Onboarding redesign
- Segmented push strategy
성과
- 1.4x 7-day retention
- 41% push open rate
기술 요소
Medical Device Connectivity App
HealthTech Company
Stabilized BLE connectivity and data synchronization.
과제
- Unstable reconnection
- Data gaps
대응
- Connection state machine
- Retry-safe sync design
성과
- Data loss reduced to 0.08%
- 40% crash reduction
기술 요소
AI Consulting Cases
From roadmap design to organizational adoption.
Call Center AI Roadmap
BPO Company
Defined practical use-case priority and rollout phases.
과제
- Too many use cases
- Unclear investment basis
대응
- Log analysis
- ROI + feasibility prioritization
성과
- 8 priority areas selected
- Approved implementation budget
기술 요소
AI Enablement for Sales Team
SaaS Company
Standardized proposal and meeting-summary generation workflow.
과제
- Inconsistent output quality
- Security concerns
대응
- Prompt templates
- Governance policy design
성과
- 38% less prep time
- 80%+ adoption in 3 months
기술 요소
Back-office AI Opportunity Assessment
Mid-size Manufacturer
Defined practical AI initiatives for HR, legal, and finance.
과제
- Cross-team process differences
- No AI owner
대응
- Process mapping
- 90-day rollout planning
성과
- 60% of target workstreams planned
- AI governance team launched
기술 요소
AI System Development Cases
Production-grade AI implementation across multiple business workflows.
Enterprise Knowledge Search Platform
IT Service Company
Built RAG-based search with access control and monitoring.
과제
- Scattered documents
- Low search success rate
대응
- Index pipeline
- Metadata and permission design
성과
- 29% fewer internal inquiries
- 45% faster information lookup
기술 요소
Contract Review Assistant
Listed Enterprise
Automated first-pass review with legal team governance.
과제
- Review bottlenecks
- Rule inconsistency
대응
- Clause classification
- Human-in-the-loop workflow
성과
- 52% faster first review
- Better quality consistency
기술 요소
Support Ticket Classification & Reply Drafting
E-commerce Company
Automated ticket routing and suggested responses for agents.
과제
- Slow response in peak periods
- Quality variance
대응
- Priority classifier
- Reply draft and approval flow
성과
- 46% faster first response
- 18% fewer repeat inquiries
기술 요소