Early access — contact us
The knowledge graph platform is currently in pilot. We are working with select research groups to build and validate the first domain-specific graphs. Contact us to discuss early access for your field.
Science needs a knowledge layer
Every scientist carries a mental map of their field. Until now, there has been no way to make those maps explicit, shared, and collaborative.
Knowledge lives in silos
Scientific knowledge graphs exist implicitly in researchers' minds but have never been made explicit. Citation tools treat papers as nodes — but scientists think in concepts and relationships, not citation chains.
Collaborative knowledge graphs
Axy treats papers as evidence on edges between concept nodes — mirroring how scientists actually think. Fork an existing field map, add your contributions, and merge back. Only 20 seed annotations needed per domain to bootstrap a useful graph.
GitHub for scientific knowledge
The same collaboration model that transformed software development, applied to scientific knowledge.
Concept-first knowledge graphs
Unlike citation-based tools, Axy puts concepts and relationships at the center. Papers, datasets, and experiments serve as evidence for the connections between ideas — the way science actually works.
- Concept nodes connected by typed relationship edges
- Papers, datasets, and experiments as evidence
- AI-assisted construction from as few as 20 seed annotations
- Visual exploration of your field's knowledge landscape
Fork, branch, merge
Collaborate on scientific knowledge the way developers collaborate on code. Fork a field map, add your discoveries, propose changes, and merge contributions through community review.
- Fork existing knowledge graphs to build on others' work
- Branch to explore alternative interpretations
- Merge contributions through community review
- Full version history and provenance tracking
Papers are evidence.Concepts are the knowledge.The graph is the understanding.
— Axy Knowledge Graph
Knowledge Graph FAQs
Learn about our approach to collaborative scientific knowledge.