We onboard research groups one at a time. Cohort 1 is forming now — join our Discord to follow along.

Private beta · Concept mapping for science

Every scientist thinks in knowledge graphs. Axy builds yours — so others can explore.

10M+

Researchers each rebuilding the same map from scratch

23%

Of work time spent re-reading what others already mapped

$150B

Spent annually on "catching up"

2 yrs

For a new lab member to inherit what came before

The Axy app showing a researcher's knowledge graphs — Neural Plasticity Atlas, CRISPR Gene Editing Pathways, and Climate–Biodiversity Interactions. — A 4-minute walkthrough — from a stack of papers to a living concept map.

The Problem

Before a scientist can do anything new — They have to figure out what’s already been done.

That process hasn’t changed in 50 years. It is slow, solitary, and painful. And it looks like this.

The Literature Abyss

A new field can mean 40,000 papers. Months of chasing citations later, you still can't tell the foundational work from whatever everyone else happened to cite.

The Duplicated Work

Three people in your department reviewed the same literature last year. Nobody knew. The models they built stay locked in their heads — and leave when they do.

The Two-Year Tax

A new postdoc spends two years just catching up on the field — rebuilding a mental model that already lives in the departing postdoc's head.

The Solution

Ask a question — watch your field connect.

Axy maps your field at the concept level. Ask in plain language and watch the graph assemble — surfacing the bridges and gaps you would have missed.

I just started on Parkinson’s — what connections am I missing?

Let me map the concept neighbourhood.

Scan concept clusters
Trace connections
Surface bridges

The gut microbiome links to Parkinson’s via SCFAs → α-synuclein — a bridge across two clusters most newcomers miss.

Blogs

Insights for the Future of Discovery

Dive into articles, updates, and perspectives on building a more connected research ecosystem.

View all articles

Open Tree of Life: What It Is, What It Enables, and What Researchers Need to Know About Its Limits

A review of Open Tree of Life — what its 2.4M-tip synthesis enables, and why only 129,778 of those tips rest on actual phylogenetic evidence.

26 Aug, 2026 • 9 min read

PrimeKG: The Disease-Centric Knowledge Graph Built for Machine Learning

A review of PrimeKG — the disease-centric biomedical knowledge graph built for ML: what it enables for drug repurposing, and what its edges never tell you.

26 Aug, 2026 • 9 min read

HRA KG: What the Human Reference Atlas Knowledge Graph Maps, Enables, and Leaves Out

A researcher's guide to the Human Reference Atlas Knowledge Graph (HRA KG) — what it maps across 71 organs, what it enables, and where its limits lie.

12 Aug, 2026 • 11 min read

Why "Just Use ChatGPT" Doesn't Work for Real Scientific Discovery

ChatGPT is built to summarize, not to discover. Why real research needs provenance, relationships, and freshness that general chat LLMs can't provide.

7 Aug, 2026 • 9 min read

Insights for the future of discovery.

New articles, product updates, and perspectives on building better tools for researchers and accelerating scientific discovery.