| --- |
| language: |
| - en |
| - ja |
| tags: |
| - graph-ml |
| - technology-assessment |
| - due-diligence |
| - world-models |
| - ecosystem-analysis |
| library_name: transformers |
| pipeline_tag: graph-ml |
| --- |
| |
| # Ecosystem Analysis AI — WARP DD Model 01 |
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| ## Overview |
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| Ecosystem Analysis AI is the first of three proprietary AI models powering [WARP DD](https://www.linedotjp.com), an AI-powered technology due diligence platform by [LINEdot., Inc.](https://huggingface.co/linedot) |
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| This model captures the relational structure of technology ecosystems — mapping how technologies, research, and markets interconnect and evolve. |
|
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| ## Architecture |
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| - **Foundation:** Graph Neural Network (GNN) |
| - **Approach:** Models the tripartite relationships between technology, research, and market as a dynamic graph |
| - **Input:** Global technology data sources (papers, patents, GitHub, funding data, etc.) |
| - **Output:** Ecosystem structure analysis, relationship mapping, influence scoring |
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| ## What It Does |
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| - Maps the entire technology ecosystem as a dynamic graph |
| - Identifies hidden connections between technologies, companies, and research domains |
| - Detects emerging clusters and structural shifts in real-time |
| - Provides the foundational "world model" that feeds into Tech Profiling AI and De Facto Trajectory AI |
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| ## Part of the WARP DD 3-Layer AI Engine |
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| | Model | Role | |
| |-------|------| |
| | **Ecosystem Analysis AI** (this model) | Graph-based relational structure modeling | |
| | **Tech Profiling AI** | 6-axis quantitative competitiveness evaluation | |
| | **De Facto Trajectory AI** | Future trajectory prediction with causal inference | |
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| ## Validation |
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| - **89%** overall backtest accuracy across 100 AI/ML companies (2-year validation) |
| - **~200 companies** across 7 technology domains validated with real-world data |
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| ## Note |
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| Model weights and training code are proprietary and not publicly available. This Model Card is provided to document the architecture and capabilities of the model. |
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| ## Links |
|
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| - 🌐 [Website](https://www.linedotjp.com) |
| - 🐙 [GitHub](https://github.com/linedot-ai) |
| - 💼 [LinkedIn](https://www.linkedin.com/company/125043999/) |
