AI 原生开发：速度与质量并行
依托自研 AI 产品运营经验与咨询实绩，我们实现更快交付与稳定质量。
AI 开发力
在需求、开发、测试、运维全流程引入 AI，持续提升交付效率。
AI 参与开发比例
90%+
在规划、编码、测试设计与文档环节标准化引入 AI。
最快上线速度
最快 1 个月
范围明确的 MVP 项目可按约 1 个月上线目标推进。
交付效率
最高 2.5 倍
借助可复用模式与自研 AI 知识提升实现与验证效率。
质量控制
标准化
代码评审、自动化测试与监控作为必选流程执行。
来自自研 AI 产品运营的实战经验
我们把自研 AI 产品的开发与运营经验迁移到客户交付项目中。
- 将真实故障模式与修复方案沉淀为交付模板
- 兼顾性能、成本与质量的综合优化经验
- 用验证过的架构缩短初期设计周期
丰富的 AI 导入咨询实绩
不仅完成 PoC，而是面向业务落地、治理与推广设计实施路径。
- 按 ROI 与可行性为场景排序
- 把安全与治理要求纳入落地计划
- 支持培训与运营上线准备
AI 融合工程流程
从需求到实现与测试全流程引入 AI，并通过质量门控保障交付质量。
- 标准化 AI 辅助开发与测试设计流程
- 通过 E2E 测试与可观测性保障发布质量
- 以短反馈周期持续改进上线后效果
最快 1 个月上线，600 万日元起
对于范围明确的 MVP，我们可按 1 个月上线目标推进，并支持上线后优化。
AI 驱动开发服务
以 AI 交付模型同时提升速度、质量与成本效率。
React / Next.js Web 开发
从需求定义到运营提供一体化支持，以 KPI 为导向构建可持续成长的 Web 产品。
在开发前同时定义 UI、API 与运营需求，减少返工并提高交付速度。
上线后持续优化转化率、速度与留存，形成可度量的改进循环。
主要范围
- Next.js（App Router）/ React / TypeScript 开发
- 管理后台、账号体系、支付集成
- SEO 与 Core Web Vitals 优化
- 评审、测试与交付流程标准化
iPhone 应用开发（Swift / SwiftUI）
覆盖需求、开发、上架与持续优化，提供完整的 iPhone 应用交付服务。
基于实际使用场景优化原生体验、离线行为与 API 集成。
结合崩溃分析与留存指标，支持质量管理与版本运营。
主要范围
- Swift / SwiftUI 应用开发与优化
- 认证、支付、推送、定位、相机集成
- API 设计与后端协作
- TestFlight 与 App Store 上架支持
手游开发（原生应用）
支持 iOS/Android 原生手游开发与版本运营更新，尤其擅长动画 IP 题材项目所需的演出品质与运维节奏。
围绕世界观呈现、演出节奏、活动运营需求进行客户端设计与实现。
覆盖版本发布、机型兼容、崩溃分析与持续优化支持。
主要范围
- iOS / Android 原生游戏客户端开发
- 动画 IP 题材 UI 与演出实现
- 活动更新与商店发布支持
- 崩溃分析、机型测试与性能优化
AI 导入咨询
从业务梳理到组织落地，帮助企业将 AI 从 PoC 推进到可运营阶段。
按 ROI 与可行性为 AI 课题排序，避免范围过大。
设计治理、安全与运营模式，支持组织级落地。
主要范围
- AI 路线图规划与优先级设计
- 提示词设计与治理策略
- PoC 设计与可度量验证
- 上线落地支持与内部赋能
AI 系统开发
构建与现有业务流程深度整合的生产级 AI 系统，而非一次性演示。
实现具备权限控制与可审计性的 RAG、自动化与数据集成系统。
不仅优化模型效果，也兼顾延迟、成本与运营可靠性。
主要范围
- RAG 知识库检索与助手系统建设
- 文档生成、审核、分类自动化
- 企业系统 API 集成与流程编排
- 监控、审计日志与成本优化
客户选择我们的原因
结合 AI 产品实战与咨询经验，提供可落地、可持续的开发服务。
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.
交付流程
同时展示行业常见周期与我们的 AI 加速交付周期。
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
周期会因需求复杂度、外部系统对接和审批流程而变化。
周期与预算样例方案
以下为代表性方案。明确 MVP 可从 1 个月 / 600 万日元起。
Fast Launch
MVP / small-to-mid business app
Focus on core features and release quickly to validate market response.
From 1 month
600 万日元起（不含税）
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
以上为初期估算，不含基础设施与第三方服务费用。
质量、安全与运维保障
我们将质量控制与治理能力标准化到交付流程中。
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.
案例
每条服务线提供 3 个案例，展示可量化成果。
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.
挑战
- Complex UI flow
- Frequent input errors
实施方式
- Workflow-driven UI redesign
- Type-safe form architecture
成果
- 42% faster input
- 35% fewer inquiries
技术栈
E-commerce Performance Optimization
D2C Brand
Improved page speed and conversion during campaign peaks.
挑战
- Slow mobile pages
- Limited analytics
实施方式
- Rendering optimization
- Measurement redesign
成果
- LCP improved to 1.7s
- 1.6x mobile CVR
技术栈
Legacy Portal Modernization
Education Service Company
Migrated legacy modules without downtime.
挑战
- No downtime requirement
- Data consistency
实施方式
- Phased migration
- Operational automation
成果
- Zero downtime migration
- 55% less manual operation
技术栈
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.
挑战
- Paper-based operations
- Input quality issues
实施方式
- Offline-first mobile flow
- Photo/location integration
成果
- 50% faster reporting
- Defect rate dropped to 6%
技术栈
Learning App Retention Improvement
EdTech Provider
Redesigned onboarding and notifications for retention growth.
挑战
- Low retention
- Unclear user behavior
实施方式
- Onboarding redesign
- Segmented push strategy
成果
- 1.4x 7-day retention
- 41% push open rate
技术栈
Medical Device Connectivity App
HealthTech Company
Stabilized BLE connectivity and data synchronization.
挑战
- Unstable reconnection
- Data gaps
实施方式
- Connection state machine
- Retry-safe sync design
成果
- Data loss reduced to 0.08%
- 40% crash reduction
技术栈
AI Consulting Cases
From roadmap design to organizational adoption.
Call Center AI Roadmap
BPO Company
Defined practical use-case priority and rollout phases.
挑战
- Too many use cases
- Unclear investment basis
实施方式
- Log analysis
- ROI + feasibility prioritization
成果
- 8 priority areas selected
- Approved implementation budget
技术栈
AI Enablement for Sales Team
SaaS Company
Standardized proposal and meeting-summary generation workflow.
挑战
- Inconsistent output quality
- Security concerns
实施方式
- Prompt templates
- Governance policy design
成果
- 38% less prep time
- 80%+ adoption in 3 months
技术栈
Back-office AI Opportunity Assessment
Mid-size Manufacturer
Defined practical AI initiatives for HR, legal, and finance.
挑战
- Cross-team process differences
- No AI owner
实施方式
- Process mapping
- 90-day rollout planning
成果
- 60% of target workstreams planned
- AI governance team launched
技术栈
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.
挑战
- Scattered documents
- Low search success rate
实施方式
- Index pipeline
- Metadata and permission design
成果
- 29% fewer internal inquiries
- 45% faster information lookup
技术栈
Contract Review Assistant
Listed Enterprise
Automated first-pass review with legal team governance.
挑战
- Review bottlenecks
- Rule inconsistency
实施方式
- Clause classification
- Human-in-the-loop workflow
成果
- 52% faster first review
- Better quality consistency
技术栈
Support Ticket Classification & Reply Drafting
E-commerce Company
Automated ticket routing and suggested responses for agents.
挑战
- Slow response in peak periods
- Quality variance
实施方式
- Priority classifier
- Reply draft and approval flow
成果
- 46% faster first response
- 18% fewer repeat inquiries
技术栈