AI System Development

From generative AI integration and RAG development to AI agent development, we handle the full journey — requirements definition through production operations — under one roof. Starting from your real business challenges, we deliver AI that works.

Challenge

Facing challenges like these?

  • We want to adopt AI, but aren’t sure how to apply it to our own operations.
  • Projects stall at the proof-of-concept stage and never make it into production.
  • We can’t secure in-house engineers with AI development expertise.
  • We outsourced development, but the result diverged significantly from our actual business requirements.
Approach

The VIETIS Approach

01

We start by digging into the business problem

Rather than starting from AI, we thoroughly understand your workflow first, then design the implementation approach best suited to it.

02

End-to-end, from requirements to production

The same team handles design, development, testing, release, and the handover to operations — with no loss of context along the way.

03

AI-driven development that balances speed and quality

We build AI into our own development process, pairing it with knowledge earned from a substantial delivery track record to ship something that reliably works.

Scope of Work

We cover the full spectrum of AI development, from applying generative AI to building MLOps infrastructure.

Generative AI Integration & Chatbots

We integrate LLMs such as GPT-4, Claude, and Gemini into your existing systems, including building chatbots for internal use and customer-facing deployment.

RAG Development

We build RAG systems that vectorize internal documents and business knowledge into a database to generate highly accurate responses.

AI Agent Development

We design and build agents that autonomously operate multiple tools, supporting business process automation and more sophisticated workflows.

Image & Voice AI

We implement and integrate multimodal AI capabilities such as image recognition, object detection, speech transcription, and sentiment analysis.

Predictive & Demand Forecasting Models

We design, build, and tune machine learning models for use cases such as sales forecasting, inventory optimization, and anomaly detection.

AI System Quality Assurance

Process management aligned with CMMI Level 3 ensures the accuracy, reliability, and security of your AI systems.

Development Process

From requirements through production, the same team carries the project reliably through five phases.

  1. 01

    Discovery & Requirements Definition

    We dig deep into the business problem, identify where AI applies, and carefully define KPIs.

  2. 02

    PoC & Feasibility Validation

    A small-scale trial before full investment, to confirm accuracy, cost, and feasibility.

  3. 03

    Design & Architecture

    We design the AI architecture with integration into your existing systems in mind, defining security requirements alongside it.

  4. 04

    Development, Testing & Tuning

    Agile development with deliverables reviewed each sprint, iterating repeatedly to improve accuracy.

  5. 05

    Release & Operational Handover

    We put a monitoring setup in place after production deployment and support the transition into ongoing operations and maintenance.

Indicative Pricing

We tailor our proposal to your project’s scale and complexity — start with a consultation.

PLAN A

Small-Scale AI System

A single-function AI system, such as a chatbot or RAG deployment.

¥1,000,000+

Estimated timeline: 1–2 months

  • Requirements definition & PoC validation
  • Implementation of a single AI feature
  • API integration with existing systems
  • Testing & production deployment

PLAN B

Business-Specific AI System

A multi-feature AI system deeply embedded into your business workflow.

¥3,000,000+

Estimated timeline: 2–4 months

  • Detailed requirements definition & design
  • Integration of multiple AI features
  • Fine-tuning & RAG
  • Admin console & dashboard
  • Accuracy improvement & tuning

PLAN C

AI Platform & Enterprise

Company-wide AI platform development and enterprise-grade systems.

¥10,000,000+

Estimated timeline: 4 months and up

  • Company-wide AI strategy planning
  • MLOps infrastructure & model management
  • Multimodal AI integration
  • Security & compliance support
  • Ongoing model improvement framework

* The figures above are indicative only and will vary based on requirements and scale. Please feel free to contact us for details.

Why VIETIS

Why clientschoose VIETIS

End-to-end, from strategy to operations

The same team owns requirements, development, and ongoing maintenance — one continuous line of support, with no handoff gaps.

AI-driven development, without trading off quality

We fold leading AI tools into our own development process, pairing that with a deep track record of hands-on delivery.

Quality management to international standards

CMMI Level 3, ISO 27001, and Japan’s Privacy Mark certified. A Japanese PM oversees quality from end to end.

Right-sized for any engagement

Whatever your budget, scale, or industry, we shape a plan around the business problem you actually have.

Contact

Start with a free consultation

Come to us even before the problem is fully defined. We listen first, then propose the right way forward.

  • Consultation is free
  • From 30 minutes online
  • NDA on request
  • Japanese-speaking team