NGraph
STRUCTURING MEANING FOR AI

Structuring the world's meaning into a form AI can read.

Food, companies, people — we make the domains AI misreads readable to AI. We build our own products, and our engineers embed in your workplace too.

Free consultation / online, anywhere in Japan / "just mapping things out" is welcome

4domainsOwn AI products built & operated
130languagesAI customer service we built

Structuring

Organizing the connections of meaning into a form machines can read. The world's information can be written in universal structural patterns.

Deduction
Induction
Relation
Sequence
Hierarchy
Sets
Ring
Cycle
Structuring — translation that lets AI answer precisely, not guess
Human-readable info
<h2>Shrimp tempura soba</h2>
<p>¥980</p>
AI can only guess
the allergens
structure
Meaning data (NGraph)
"name":"Shrimp tempura soba",
"allergens":
  ["shrimp","wheat","buckwheat"]
Meaning in a form
machines can read
reference
AI
ChatGPT・Claude・Perplexity
"Contains shrimp, wheat, buckwheat"
— precise, not guessed

You signed up for AI. Nothing changed on the ground.

The gap is not the tool — it's between the tool and the workplace.

CASE 01

The tools are there. Nobody knows how to use them

Signed up, but every team still works the old way. Use cases differ by team.

CASE 02

Training happened. It never reached the actual work

Generic training never closes the gap: "how does this apply to our work?"

CASE 03

No one inside can own it

Every department is different; IT alone can't cover every floor.

AI adoption worldwide is going "on-site".

The model US tech giants are now investing in: engineers stationed inside client companies.

Forward Deployed Engineer (FDE)
An engineer deployed to the front line — inside the client's own workplace

Engineers embed within a client company, building AI into each team's actual work, on the spot.

OpenAI

"Frontier"

Embeds engineers in client companies to integrate autonomous "AI coworkers".

Microsoft / AWS

FDE divisions, thousands strong

Reported to have stood up FDE divisions of thousands of engineers.

NGraph

The same model, for you Available

Embedded, on-site AI adoption for SMEs in Japan — scaled to your size and budget.

Conventional support (training / consulting)
Sign up for the tools
Receive training and documents
"The rest is up to your team"
Nobody knows how to apply it — everything stalls
FDE-style (NGraph)
An engineer enters your workplace
Builds with your real data, in front of you
Integrates with your existing systems and flow
Sticks — your team runs it on their own

The difference is the last step: not "teaching how to use it", but building the state where it is used — on site.

FDE-style embedded AI adoption

Currently accepting engagements — fully online across Japan, or on site. We stay until your team can run it themselves.

NGraph
Engineer Forward Deployed Engineer
Accounting
Accounting teamInvoices · closing
Sales
Sales teamProposals · quotes
Production
Production floorManuals · reports

Not a company-wide memo: we enter each team and build for its specific work.

On-site discovery & task breakdown

We break down each team's work and split it: what AI takes over, what people keep.

Task breakdownOn-site interviewsAI fit assessment

Prompts & AI built in front of you

Built and tuned with your real data, right at the desk. Nothing taken away for later.

Prompt designAI agent buildingLive, on-site

Integration with your existing systems

We connect AI to the systems, Excel files, and chat tools you already use.

System integrationWorkflow embeddingKeep your tools

We stay until it sticks

We build until your team can fix and run it themselves, then hand it over.

Internal rolloutAdoptionHandover
How it works
Free consultation
Tell us where
you are stuck
On-site assessment
Break down tasks,
find where AI fits
Build together
Online or on site,
built in front of you
Adoption & handover
Done when your team
runs it on their own

Engagement & pricing

We design an engagement that fits the size of the problem and your budget.

Online-first × on-site

Fully online works: we build live over screen share with your real data. On-site visits also available.

Duration scaled to the problem

From a few-week sprint to months of embedded support.

Pricing on request

We quote after an initial consultation and on-site assessment — the consultation is free.

"Just want a ballpark figure?" — that alone is a fine reason to reach out.

Talk to us — it's free

What we build

Products born from our structuring technology, running in real restaurants and real workflows.

OMISEAIAI customer service for restaurants · in-house

An AI at every table, answering in 130 languages. Live in real restaurants in Fukui and Kanazawa.

omiseai.com
AutoWriteAI grant-application SaaS · in-house

A SaaS that auto-generates Japanese subsidy applications with AI.

autowrite.jp
TelesAI advisor of historical sages · in-house

An AI advisor built on the structured thinking of history's great minds, with a "Fusion" mode.

nicomachos.com
ArcheAI business assessment · in-house

Scores and diagnoses a business against universal evaluation axes.

nicomachos.com/cases
Food Graph JapanFood-culture knowledge graph · in-house (coming soon)

A knowledge graph of Japanese food that AI can reference. Building from Fukui's regional cuisine.

Client workMultilingual sites · AEO

Multilingual restaurant websites, structured-data embedding, and AEO.

From the founder

AI only starts working when it enters the workplace.

When AI shows no results, the last step — "how does this apply to our work?" — was never closed. It can't be closed by documents. Someone has to enter the workplace, run it on real data, and fix it on the spot.

That is how we built our own products — and how we work inside yours.

CEO Shingo Takahashi

Company

NameNGraph Inc. (株式会社NGraph)
CEOShingo Takahashi
FoundedDecember 2025
CapitalJPY 3,000,000
BusinessPlanning, development, and operation of AI products (OMISEAI / AutoWrite and others)
FDE-style embedded AI adoption support (on-site engineering, prompt design, system integration, adoption)
Multilingual websites and structured data / AEO for restaurants
PoC and joint development with companies and government

Let's start from "how could AI work in our business?"

From mapping to building to adoption. Consultation is free.

Talk to us — it's free
Talk to us — free →