See what nobody else sees
Get a bird's eye view of your research field. Map your papers at the concept level — not citations — and discover the connections hiding in plain sight.
How it works
From your papers to a concept map
Step 1: Upload
Start with a paper — or a collection
Import from Zotero or paste DOIs. Axy reads introductions and discussions — the sections that reveal your field's conceptual landscape.
Karikó et al., 2005
Introduction
Discussion
— or a collection —
Step 2: Extract
Concepts emerge — you approve
Key ideas and relationships are extracted from the text. You review, approve, and refine the concepts Axy finds.
Step 3: Map
Your field, made explicit
Concepts become nodes. Papers sit on edges. Gaps between clusters become visible — structural holes that are research questions waiting to be asked.
Why concepts, not citations
Not another citation graph
Tools like Connected Papers and Research Rabbit map who cited whom. That's useful — but it misses the actual ideas. Axy maps concepts.
Citation graph
Shows paper-to-paper links. Can't tell you what the papers are about or where the conceptual gaps are.
Concept graph
Maps how ideas relate. Papers sit on the edges. Reveals structural gaps between communities.
What your graph unlocks
Once your thinking is explicit, everything gets easier.
Find gaps
See where two communities don't talk. Structural gaps in the graph become research questions — the kind that win grants.
Write faster
Your graph becomes your introduction and discussion. The context you built turns into structure that writes itself.
Fork & share
Share your graph publicly or fork someone else's. Build on collective maps. A PhD student can inherit 20 years of context on day one.
Every scientist carries a map in their head — 20 years of reading, compressed into intuition. A PhD student starting today gets none of that. The knowledge graph changes this.
We have explored other tools like Consensus, but none really fit our use case. They're mostly just regurgitation of some obscure research that doesn't make sense. The graph database approach is really cool and exciting because researchers who actually do the work verify everything.
Get early access
We're onboarding research groups one at a time. Leave your details and we'll reach out when it's your turn.
Join the waitlist →Ready for a bird's eye view?
Start with your papers and see what emerges.