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Put generative AIat the core of your business.

End-to-end support, from concept to launch

Strategic AI adoption and scalable development,backed by proven technology and delivery experience.

Latest AI case studies

Explore our generative AI and machine learning insights on the official blog

Service Overview

From "just experimenting" to "transforming how you work"

We take your use of generative AI reliably to the next level.

As demand grows for AI Agents — conversational agents embedded in real business workflows —we support you end to end, from requirements definition through design, implementation, and operations.

What We Support

Initial Concept & Strategy

Mapping workflows for AI adoption, designing use cases, and building mockups and proposals

Technical Validation & Prototyping

PoC development using FUTURE BOX and others, plus integration testing with external tools

Production Build & System Integration

Building AI Agents and applications that connect to your workflows and internal or external systems

Operations & Continuous Improvement

Post-launch usage analysis, improvement proposals, retraining, and operational tuning

New UX Design & Rollout

Designing, building, and operating conversational experiences such as MASCOTAI and digital humans

How We Work

1

Discovery & Concept Alignment

We start by understanding your business challenges and goals, then assess where generative AI can add value.

2

Proposal, Samples & Mockups

Based on the discovery phase, we propose use cases and implementation approaches. Where helpful, we present mockups built on FUTURE BOX or existing sample systems.

3

PoC & Prototyping (Optional)

As an early step, we firm up requirements and refine specifications through prototyping and technical validation. Note: the PoC can be skipped to move straight into production development.

4

Production Build & Integration

Using the PoC results and finalized specifications, we build and deploy the production system into your operations.

5

Operations & Improvement

Based on real usage after launch, we propose improvements, tune models, and provide ongoing operational support — including AI Agent retraining, UI refinements, and deeper workflow integration.

We adapt the process flexibly to fit your situation.

Indicative Budget Ranges

Strategy, Requirements Definition & PoC Support

Free – several hundred thousand JPY(up to a few million JPY depending on scope)

Production Development

JPY 10M – 50M rangeExtensive delivery track record

Sample Development Timelines

MVP

Validate the market with a minimal product

Requirements

approx. 0.5 month

  • MVP requirements definition
  • Grand design production
Minimum Build

a few months

  • App / CMS implementation
  • Unit testing
Testing & Release

approx. 0.5 month

  • Integration testing
  • Acceptance testing
  • Feedback handling
  • MVP release
Team Allocation
approx. 0.5 mo
a few months
approx. 0.5 mo
PM 0.5
BPM 1.0
Dev 1.0
Dev 2.0
Production Release

Scalable development for full-scale operation

User Validation

1–2 months

  • Organizing and defining requirements for the production build
  • Handling feedback and defects during the pilot
Production Development

a few months

  • Overall management and requirements refinement
  • Direction and improvement of AI features
  • Test execution
Go-To-Market

1–2 months

  • Defect handling for released features
  • Testing and release
Team Allocation
1–2 mo
a few months
1–2 mo
PM 0.2
PM 0.2
BPM 0.5
BPM 1.0
BPM 0.5
Dev 1.0
Dev 3.5
Dev 1.0
AI Specialist 0.1

* These schedules are examples only and will vary with specifications, design, and milestones.

Team Structure

Collaborative Team Model

Driving the project forward as one team with you

Your Team

Product Owner / PrdM
Requirement alignment, system acceptance

Integrated Support & Development TeamWe work as one team with you to make the project succeed

Development Team
Project Manager
Early-stage support, requirement alignment, management
Bridge Project Manager
Schedule management, progress tracking, quality control, integration testing
Engineers
Detailed design, development, unit testing
Support Functions
PMO
Project management support, communication support, standardization
Center of Excellence
Technical support, best practices, rollout of emerging technology
Group Manager
Resource and motivation management across the development team
Seamless support through close collaboration
Creating value through seamless collaboration

Highlights of Our Standard Team Model

Built-in Support Structure

PMO, CoE, and group managers back up every development team as standard.

Rigorous Information Sharing

Daily updates and weekly review meetings keep progress fully transparent

Flexible Team Composition

We adapt the team makeup to each phase of the project

🤖
OpenAI GPT-4
🧠
Anthropic Claude
🔗
LangChain
🌲
Pinecone
🤗
Hugging Face
🦙
LlamaIndex
FastAPI
Next.js
⚛️
React
☁️
AWS Bedrock
💙
Flutter
🐳
Docker
📘
TypeScript
🐍
Python
📗
Node.js
🍃
MongoDB
🌟
Vertex AI
🔍
Azure Cognitive Search
🤖
OpenAI GPT-4
🧠
Anthropic Claude
🔗
LangChain
🔗
LangGraph
🌲
Pinecone
🤗
Hugging Face
🦙
LlamaIndex
FastAPI
☁️
AWS Bedrock
💠
Azure AI
📊
TensorFlow
🔥
PyTorch
🐳
Docker
⚙️
Kubernetes
📘
TypeScript
🐍
Python
📗
Node.js
🍃
MongoDB
🔴
Redis
🐘
PostgreSQL
🎤
ElevenLabs
📊
TensorFlow
🔥
PyTorch
🐳
Docker
⚙️
Kubernetes
📘
TypeScript

Technologies We Work With

  • ChatGPT / Claude / Gemini / DeepSeek - Natural language understanding, inquiry handling, content generation
  • RAG (Retrieval-Augmented Generation) - Improved accuracy by connecting to internal knowledge bases and FAQ data
  • Fine-tuning & prompt engineering - Building and tuning custom AI for specific business tasks
  • Private LLM deployment - Running AI in an isolated environment on your internal network (security and granular control)
  • No-code / low-code integration - Mockup development through code generation, plus automation via SaaS and RPA integration
  • Local LLM deployment (DeepSeek and others) - We handle the setup and environment optimization needed to run large language models such as DeepSeek and Llama on in-house PCs or on-premise servers — supporting offline, closed-network operation with no cloud dependency. Note: hardware requirements such as GPUs are demanding, so upfront requirement analysis and architecture review are required.
  • Lightweight AI models (for smart devices) - We select and implement lightweight models that run in resource-constrained environments such as smartphones and embedded devices. Current use is centered on simpler tasks, but we are happy to discuss designs for future on-device AI.

What Our Clients Say

See the impact of our AI solutions through the words of the companies that adopted them.

🌲

Mori no Gakko Co., Ltd.

What we did

We handled the development of their mobile app. Through discussions on how to improve it, we concluded that generative AI could deliver significantly more value to users, and went on to validate the feasibility of those features and iterate on prompt design.

Client comment

"We believe many companies are like us — full of ideas but without the means to realize them. AI in particular has become essential to business growth. The pace of AI advancement is so fast that it is effectively impossible for non-specialist companies to keep up. Vitalify Asia has many staff we can rely on, and they contributed not only to implementation but also to refining our ideas. We hope to work with them for many years to come."

🎮

Mobile Game Development Company

What we did

We developed a Unity game app. To deliver features users would genuinely enjoy through generative AI, we joined from the planning meetings onward — validating the feasibility of various ideas, building a demo that isolated the AI features, and proposing improvements to accuracy and cost as we went.

Client comment

"They joined from the earliest planning stages and advised us — with both real understanding and genuine care — on how the latest AI technology could be built into our game to make our design intent tangible. Acting as the bridge between planning and development, they drew on their extensive knowledge and awareness of the latest technology trends to keep the project moving smoothly."

🚀

ReGACY Innovation Group Inc.

What we did

We supported the validation phase of a product built on generative AI. Through regular discussions, we made proposals from many angles, drawing on our own case studies and on projections of how generative AI is likely to evolve.

Client comment

"We are building an AI application together with Vitalify Asia. We started from zero — no specification, no requirements document — yet they proposed the overall architecture and technology choices precisely, and we have progressed smoothly. With AI use cases coming one after another, we iterate on hypotheses at every stage of development, and Vitalify Asia's engineers learn alongside us, working closely with our own engineers and running with us toward our goals. Their flexible, positive attitude is reassuring — they are a partner we trust."

Let's Talk

If you are considering business transformation or new business development with generative AI, start by telling us about your current situation and challenges.

From strategy through PoC and production development, we will put together the right proposal for you. Our specialists will respond personally.

Examples of what we can discuss

Clarifying your current business challenges
Assessing the potential for AI adoption
Rough budget and schedule discussion
Confirming technical feasibility