metadata
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
Overview
Ecosystem Analysis AI is the first of three proprietary AI models powering WARP DD, an AI-powered technology due diligence platform by LINEdot., Inc.
This model captures the relational structure of technology ecosystems — mapping how technologies, research, and markets interconnect and evolve.
Architecture
- 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
What It Does
- 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
Part of the WARP DD 3-Layer AI Engine
| 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 |
Validation
- 89% overall backtest accuracy across 100 AI/ML companies (2-year validation)
- ~200 companies across 7 technology domains validated with real-world data
Note
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.