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, attributed, and yours.
Capture findings as Knowledge Objects in 30 seconds. Get matched to complementary researchers across every field. Anonymous until both sides opt in.
Discover relevant ideas and researchers, faster
Capture
A paper takes months. A KO takes 30 seconds. Type or speak a research idea and AI extracts a structured Knowledge Object: typed, tagged, cryptographically timestamped, and immediately matchable.
Own
You own your data. Every KO is cryptographically signed and timestamped from the moment you capture it. Failed experiments, calibration tricks, domain intuition: structured and provably yours.
Discover
Protein folding wasn't solved by biologists alone. Breakthroughs happen at field boundaries. We match your work with complementary researchers across domains, anonymously, until both sides choose to connect.
Anonymous until both sides opt in
Share your ideas in the Research Network. AI finds complementary researchers across fields. Content stays hidden until both sides opt in. Discover without giving it away.
Your unpublished work stays confidential. Identities revealed only on mutual consent.
You own your data
Every KO is cryptographically signed and timestamped: proof of when you first captured an idea. Your data is never used for training. You opt in to sharing, not out.
Priority established from the moment you capture. 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.
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With ORCID: verified researcher identity, backed up, and visible in the community feed.
With email: KOs are cryptographically signed, backed up, and discoverable. Connect ORCID later for verified researcher identity.