R&D Context & IP Protection

Convert intangible attempts that easily evaporate in R&D flows into self-proving knowledge assets, proving and protecting the intrinsic value of core intellectual property (IP).

Core Features

01
Research Context Archive
Records the links between unstructured research notes, ideas, and experimental hypotheses in fractal structures, assetizing the entire research process into an organic archive.
02
AI R&D Partner
With AI learning the inherent trajectories and contexts of research, it detects critical, yet-to-be-surfaced discoveries (Weak Signals) and collaborates intelligently through fractal linking.
03
Knowledge Linking Marketplace
Safely links and distributes verified knowledge ontologies with other organizations, creating an intellectual capital ecosystem that objectively proves the economic value of R&D intangible assets.
Core Technology
Research Note-based Knowledge Graph Self-Structuring & Similar Context Curation Technology
Structures the researcher's thought process into real-time ontology triples to automatically generate personal knowledge graphs. It precisely discovers and matches relevant R&D contexts through vector embedding and semantic analysis to prove values objectively.
Knowledge Graph Vector Embedding Semantic Search Content Curation