Not another repository.

Every brain recording answers half a question. It tells you what the brain was doing and says nothing about what the person was living through while it did it. Pair the two — rigorously, at scale, in a shared schema — and patterns should emerge: recurring structures of experience that hold across people, methods, and traditions. We call them neural archetypes, and the versioned map of them is the Noetic Taxonomy.

That is the bet the whole company rests on. Everything else here — the portals, the agents, the devices — exists to test it in public, with evidence anyone can check.

Consciousness research is spread across neuroscience, contemplative studies, psychedelic medicine, clinical psychiatry, and philosophy of mind. These fields ask overlapping questions and produce results that cannot be pooled, because each lab captures experience in its own vocabulary, its own instruments, and its own private spreadsheets. The evidence exists. It just cannot be added together.

A shared record fixes that only if the record is structured. So the Archive requires the pairing — neural signal with a first-person account — and holds it against a common schema, whatever instrument produced it. Third-party datasets, existing cohorts, EEG, fMRI, biometrics, and our own reference instrument all land in the same shape.

Psychology and neuroscience have a replication problem, and a moving dataset makes it worse: a claim made against a database that quietly changes underneath it cannot be rechecked. So the Taxonomy is frozen into numbered Editions with changelogs. A paper cites the Edition it was written against, and any reader can pull exactly that Edition and re-run the analysis. Past Editions stay readable for free, and project landing pages stay publicly reachable, so a citation never rots.

Our working paper sets out the methodological argument in full.

An ordinary repository stores what you give it and waits. The Archive reads itself. The Architect works through published evidence continuously — tagging entries, linking related ones, refining archetype definitions, and releasing each new Edition of the Taxonomy. The Librarian searches across every Edition and checks that incoming work is compatible with the Taxonomy's current configuration. Cortex lives inside your own Psyntient Node, organising experiments, running protocols, and putting questions to the Archive in plain language.

No repository in this field produces a taxonomy. That output — not the storage — is the product.

Four surfaces, one Archive. Evidence goes in through the Repo portal as citable projects with their own DOIs. The Architect refines it into the Taxonomy. The Library is where you read that Taxonomy and trace any archetype back to the evidence beneath it. Psyntient Node is the local application where researchers actually work, with data held in their own Neural Vault and published only by deliberate choice. The Node API is how everything else reaches in.

Publishing and contributing are different acts, and the distinction is what keeps the Taxonomy honest: every project you publish joins the Archive and becomes citable immediately, while only qualified paired data is contributed to the Taxonomy for the Architect to fold in.

You do not have to believe the hypothesis to get value on day one. Publishing is free and permanent, with a DOI and a citable landing page. Verified researcher status is earned by credentials, never bought. Your own data stays in your custody. And the moment your work is in a shared schema, it becomes comparable with everyone else's — which is the thing no general-purpose repository can give a consciousness researcher.

A working map of experience is infrastructure, and infrastructure attracts builders. That is why the Archive sits at the centre of a wider ecosystem rather than alone: the Marketplace distributes the instruments and applications that read and write to it, including Psyntient Ground; the Science Advisory Network sets the standards of evidence so no single company owns the record; Psyntient Nexus carries the community around the science. Each layer makes the others more valuable — evidence, tools, contributors, and applications reinforcing one another.