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M9

DATA ARCHITECTURE

/// Structuring the World's Unwritten Knowledge

What Was Never
Written Down.

80% of human knowledge exists as implicit understanding — never documented, never digitized.
We structure it as AI training data.

Why do people deviate from procedures? What invisible assumptions shape behavior across cultures? How do professionals make decisions they cannot explain? This knowledge drives the real world — and AI has never had access to it.

Built on Environmental Language — our original framework for describing the implicit logic that exists in human behavior worldwide, starting from Japan's uniquely rich tradition of tacit knowledge.

Why This Data Matters

The world runs on knowledge
that was never written down.

Every industry, every culture, every profession carries vast stores of implicit knowledge — the unspoken assumptions, behavioral patterns, and contextual judgments that make human systems work. AI has learned from text, images, and code. But the knowledge that drives most real-world decisions was never documented in any of those formats.

Environmental Language is our framework for capturing this missing layer — applicable across cultures and industries. Japan, with its deep tradition of tacit knowledge transmission, is where we developed and validated the methodology. The need is global.

What We Invent

01 — 09
Non-Verbal Data
01

Non-Verbal Data

Pauses, gaze, gesture, spatial cues — the signals that determine whether AI understands intent or just words.

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02

On-Demand Generation

New data created to specification, reproducible. We do not sell inventory — we generate what you need.

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On-Demand Generation
Professional Speech
03

Professional Speech

Controllable, rights-cleared voice data. Professional actors under defined consent for legal durability worldwide.

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Methodology

Structure in Motion.

SPECIALIZED DOMAIN

Robotics-Oriented Data

Robots fail because their data was designed for demos. We create data for continuous operation — from ideal to degraded conditions.

"The goal is not 'sounding smart' — it's 'not misunderstanding.'"

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Full Spectrum Design

Pro speech to amateur, ideal to degraded

Reproducible Failure

"Can we cause the same failure again?"

Non-Verbal + Spatial

Gaze, distance, behavior with speech

2026: THE YEAR OF PHYSICAL AI

Why This Data Matters Now

Resolution, not scale — adding knowledge types that never existed before.

1
Works With Current Models

Apply to existing LLMs through fine-tuning and RLHF. No need to wait for next-generation architectures.

2
Future-Ready Training Data

High-value training material for next-generation foundation models — the preconditions Physical AI needs.

3
Untapped at Global Scale

This knowledge exists in every culture, every industry, every profession. Internet text is nearly exhausted. The implicit layer is virtually untouched.

"Physical AI must understand why humans act unpredictably.One major accident could halt entire industries."

Safety-Critical Applications Demand Human Behavior Understanding

ENGAGEMENT MODEL

Research & Licensing

We collaborate with research institutions and platform developers. Licensing is approached as a structured relationship.

Research Use

Datasets designed with documentation, traceability, and reproducibility.

Commercial Licensing

Scope defined case by case, ensuring compliance across regulatory contexts.

"We focus on creating data that must be designed — not collected by default."

Est. 2022 Healthcare DX Award Adopted by Major Enterprises Methodology Developed in Japan EU-GDPR Ready
NEXT STEP

Let's Discuss Your Requirements

Whether you're building dialogue AI, robotics systems, or multimodal models — we start with understanding what you need.

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