Senior engineers. AI-native delivery.

Build what used to require an engineering team.

A small senior team, amplified by AI coding agents, takes complex products and infrastructure from architecture through production operation.

A different operating model

More engineering leverage. Clear accountability.

AI agents accelerate implementation. Experienced engineers remain responsible for every technical decision and production outcome.

Traditional delivery

Scale the team and the handoffs

Large teams divide discovery, architecture, implementation, QA, and operations across roles and vendors.

More coordination · longer cycles · billing tied to hours

Ineeza delivery

Scale senior engineers with AI agents

A small senior team owns the architecture and uses coding agents to implement, test, document, and iterate with greater leverage.

Fewer handoffs · faster iteration · production-ready outcomes

Human accountability remains.

We use AI for implementation, review, and testing. Experienced engineers define the quality bar, validate the evidence, and make the release decision. They remain accountable for architecture, security, and production reliability; AI output is never promoted to production without verification.

Outcomes we deliver

From difficult idea to production system

From the first technical decision through production, we take ownership of the path and the outcome.

More ways we move work forward

  1. 01

    Product Acceleration

    Turn an idea, prototype, or stalled product into a clear architecture and a production release.

  2. 02

    Fractional CTO & Technical Leadership

    Architecture, technical strategy, team design, vendor evaluation, and execution leadership.

  3. 03

    AI-Native Engineering Partner

    Build and maintain production software with senior engineers working alongside modern AI development agents.

Technical use cases

Production AI and blockchain systems

Representative systems designed for security, reliability, and production operation.

Example 01

Production AI agent platform

Current issue
An LLM prototype works, but quality, permissions, and cost are not ready for production.
What we build
A tool-using agent with RAG, evaluations, execution logs, budget limits, and human approval.

Example 02

Passkey wallet and stablecoin payments

Current issue
Seed phrases, gas tokens, and fragmented payment operations create user friction.
What we build
Passkey wallets, smart accounts, gas sponsorship, stablecoin payments, ledger, and reconciliation.

Example 03

x402 APIs and agent payments

Current issue
Accounts, subscriptions, and API keys prevent agents from purchasing services programmatically.
What we build
x402-enabled HTTP or MCP services with agent wallets, spending limits, payment records, and settlement monitoring.

Outcome ownership

One technical line from decision to operation

Three clear stages keep technical decisions and implementation aligned.

  1. 01

    Define the Problem

    Clarify the goal, constraints, risks, and what success should look like.

  2. 02

    Design the Path

    Choose the architecture, priorities, milestones, and delivery plan.

  3. 03

    Build for Operation

    Implement, test, launch, monitor, and prepare the system for your team.

Senior, AI-native engineering

A small team built for difficult systems

Ineeza is an AI-native engineering company focused on production AI, blockchain, wallet, and payment systems. From Tokyo and Amsterdam, our senior engineers combine technical strategy, architecture, hands-on implementation, and operational responsibility for companies across high-value global markets.

Corporate Information

Ineeza, Inc.

6-7 Maruyamacho, Shibuya AM Flat 1F, Shibuya-ku, Tokyo 150-0044, Japan
Operating Bases
Tokyo / Amsterdam

Operating Bases

Amsterdam / Netherlands

European engineering base

Tokyo / Japan

Head office · Engineering base

Engagement models

Buy an outcome, not engineering hours

Engagements are scoped around decisions, production milestones, and ongoing technical ownership.

  1. 01

    Technical Discovery

    A focused assessment of feasibility, architecture, risks, priorities, and the recommended delivery path.

    From USD 3,000

  2. 02

    Production Sprint

    A defined production milestone delivered end to end: architecture, implementation, testing, deployment, and handover.

    From USD 15,000

  3. 03

    AI-Native Engineering Partner

    Beyond advice, we design, implement, improve, and operate the product as an embedded senior engineering team.

    From USD 20,000 / month

  4. 04

    Fractional CTO

    Working with company leadership, we guide technical strategy, investment decisions, roadmaps, team design, and vendor selection—not day-to-day implementation.

    From USD 20,000 / month

Start a technical conversation

Discuss your project with a senior engineer

Share the outcome, current system, constraints, and timeline. Your inquiry goes directly to the engineers who assess and lead the work.

What you can bring us

Early-stage questions are welcome

  • Whether an AI or blockchain idea is technically feasible
  • Architecture, security, or cost concerns in an existing plan
  • A prototype that needs to become a production system
  • Technical leadership or an independent design review
No completed specification requiredReviewed by an engineerAvailable in Japanese and English