Someone in a lab you've never heard of is working on the other half of your breakthrough.
CoreTx finds them.
Science produces knowledge. Current LLMs dissolve it into model weights. CoreTx keeps it structured.
Capture findings as Knowledge Objects in 30 seconds. Get matched to complementary research across every field.
The infrastructure layer for scientific knowledge
Capture
A paper takes months. A KO takes 30 seconds. Speak or type a research idea and AI extracts a structured Knowledge Object: typed, tagged, and immediately matchable.
Own
The most valuable knowledge in science never gets published: failed experiments, calibration tricks, domain intuition. KOs make that knowledge structured and provably yours, signed with your ORCID and timestamped from the moment you capture it.
Connect
Protein folding wasn't solved by biologists alone. Breakthroughs happen at field boundaries. We find those boundaries, matching your work with complementary research across domains.
Find collaborators before you publish
Share your ideas in the Research Network. Content stays hidden until both sides opt in. Find the other half of your breakthrough without giving it away.
NDA-protected matching. Your unpublished work stays confidential.
Establish your priority
Every KO is SHA-256 signed with your ORCID and timestamped: cryptographic proof of when you first captured an idea. Prior art certificates and NDA-protected collaboration.
Share freely, knowing your priority is established. Optional IP tools available if you need them.
Why this matters
The debate between AI capability and protecting creators is a false binary. Bringing sources back into AI is not a concession. It is a strictly more powerful architecture.
A paper reports that Drug X inhibits Target Y. It does not report the 47 compounds that failed, the calibration constraints, or the assumptions the result depends on. That knowledge sits in lab notebooks for years, waiting for a paper that may never come. KOs capture it in seconds and make it immediately available for structural matching across fields. Without structure, you cannot trace what breaks when a result is revised, measure whether two experiments are truly independent, or detect contradictions between claims. No amount of scaling will produce these computations from unstructured text.
What citations can't do
Two papers can cite different sources while sharing the same calibration standard. 105 H0 measurements collapse to 59 truly independent ones when you trace structural dependencies. Citation analysis cannot detect this.
What embeddings can't do
Similarity finds more of what you already know. Structure finds what would make your work more powerful: complementary methods, contradicting evidence, shared hidden dependencies across fields.
Knowledge Objects are the data structure that bridges this gap. They capture the process of science (hypotheses, measurements, dependencies, negative results) as discrete, attributed, computationally tractable units. Not text. Structure.
We'll create a CoreTx ID for you. No password needed.
ORCID is free. Create one at orcid.org in 30 seconds.
With ORCID: KOs are cryptographically signed, backed up, and visible in the community feed.
With email: KOs are backed up and discoverable. Connect ORCID later for cryptographic signing.