Technical Overview
An overview of what M9 STUDIO's Yuragi data products contain, how they are structured, and how they can be integrated into your AI development pipeline. Detailed schemas and sample data are available under NDA.
6
Data Categories
50+
Languages Supported
200+
Professional Performers
10+
Industry Verticals
Each category captures a distinct dimension of the Yuragi layer — the meaningful fluctuations that exist in real-world human behavior but are absent from conventional AI training data.
Speech & Voice
Emotion-controlled speech recordings with natural prosody variation, produced by professional performers from anime, film, and broadcast industries.
Decision & Judgment
Structured records of how professionals make decisions at boundary conditions — where rules end and judgment begins. Captures the fluctuation zone where identical situations produce different outcomes.
Behavioral Variability
Quantified variation patterns in operational decision-making — how the same person's decisions shift based on implicit contextual factors that are never documented in standard procedures.
Social Context
Social dynamics and implicit behavioral rules derived from real-world persona analysis across industries. Captures unspoken agreements, cultural patterns, and environmental adaptations.
Non-Verbal
Pause timing, gesture patterns, spatial cues, and other non-verbal signals that determine whether AI understands intent or just words. Designed for multimodal AI systems.
Environmental
Structured descriptions of implicit environmental assumptions — the unspoken conditions that enable stable human behavior in specific contexts but have never been expressed in language.
Quality is not post-hoc filtering. It is designed into the data architecture from the first specification.
| Standard | Specification |
|---|---|
| Accuracy | 95%+ annotation accuracy across all data categories, verified through multi-pass review |
| Reproducibility | Full condition documentation enabling dataset regeneration under identical parameters |
| Rights Clearance | 100% rights-cleared with documented consent chains — no scraping, no synthetic persona substitution |
| Bias Management | Domain-specific bias documentation and mitigation protocols included with every delivery |
| Metadata | Complete provenance metadata: source, conditions, equipment, environment, performer attribution |
| Compliance | GDPR-aware data handling, ethical sourcing with fair compensation for all contributors |
Every performer is compensated fairly. Every consent is documented. Every source is traceable. This is not optional — it is how all data should be produced.
Data is delivered in formats designed for direct integration into existing AI training pipelines — no conversion required.
| Aspect | Details |
|---|---|
| Formats | JSON, JSONL, CSV, WAV, FLAC, MP3 — standard formats compatible with major ML frameworks |
| Delivery | Secure transfer via cloud storage (AWS S3, GCS) or direct delivery |
| Licensing | Commercial license, research license, or custom terms — structured per use case |
| Scale | From targeted datasets (hundreds of records) to production-scale collections (configurable) |
| Custom Orders | On-demand data generation to specification — we design and produce data you need, not inventory |
| Documentation | Data dictionary, annotation guidelines, condition documentation, and usage recommendations included |
Yuragi data is designed for AI systems that must operate in the real world — where conditions are never ideal and human behavior is never fully predictable.
| Domain | Yuragi Data Contribution |
|---|---|
| Physical AI & Robotics | Human behavior patterns, social navigation rules, and implicit environmental assumptions for robots operating among people |
| Autonomous Systems | Non-deterministic human decision patterns for sim-to-real transfer, reducing the gap between simulated and real-world conditions |
| Foundation Models | Implicit knowledge data for training LLMs and multimodal models on the unwritten logic behind human behavior |
| Conversational AI | Prosody variation, contextual speech patterns, and social dynamics for natural human-AI interaction |
| World Model Enhancement | The Yuragi layer — human reality data that bridges the gap between physical simulation and real-world deployment |
This page provides a public overview of M9 STUDIO's data capabilities. The following materials are available upon request, subject to mutual NDA:
Available Under NDA
Detailed data schemas and field definitions · Sample datasets with representative records · Annotation design methodology and guidelines · Data generation process documentation · Custom integration specifications · Pricing and volume structures
We believe the value of AI data lies not just in the data itself, but in the design methodology behind it. Our detailed specifications reflect years of cross-industry pattern accumulation and proprietary frameworks that cannot be replicated from public descriptions alone.
Tell us about your AI development goals. We will provide relevant specifications, sample data access, and integration guidance under NDA.
Contact Us Read the Positioning Paper