About Psyntient.

If you want the full technical and philosophical framing, the Noetic Archive working paper is the source document — readable on the web or downloadable as a PDF. This page is the readable companion to it. For a click-through walkthrough of the pipeline, see how it works. For a grid of every important page, see explore.

Three fields have spent decades producing extraordinary knowledge about the human mind — and they almost never meet:

• Contemplative and experiential traditions have explored ordinary and altered states of consciousness for millennia, but those experiences are hard to capture in language and harder to study systematically.
• Modern AI is trained on vast text, image, and speech corpora — but not on structured data about what it is like to be a mind.
• Neuroscience has produced extensive brain recordings — but rarely paired with rigorous, structured descriptions of the experience unfolding during them.

Psyntient was founded to close that gap: to build the shared substrate that the next era of mind research and AI will rest on. The work is global and decentralized by design — a worldwide network of researchers, institutions, devices, and individual contributors across geographies and traditions, building on one common foundation. Everything else on this page — the device, the consent layer, the AI agents, the marketplace, the partnerships — exists in service of that single goal.

The conditions for this work exist for the first time in history. Three trends have converged:

• AI maturity. Modern models can extract structure from complex, high-dimensional data — including the messy joint space of neural signal and first-person report.
• Hardware readiness. Consumer EEG and immersive VR are now good enough, cheap enough, and portable enough to run real studies outside the lab, and a growing field of third-party neural devices makes broader data collection possible.
• Cultural readiness. Meditation, psychedelics, and altered-state research have moved from fringe to mainstream — and the public is willing to participate.

The core artifact Psyntient is building is the Noetic Archive: a growing, consented dataset that pairs neural recordings with structured first-person reports of what the person was experiencing at the time of each recording. Every entry is a small piece of evidence about how a state of mind looks from the inside and from the outside, simultaneously. Read more about the Archive →

The Archive is what makes the rest of the work matter. The remaining sections describe how it gets built, how contribution stays safe, how it becomes useful, and how the ecosystem around it grows.

An archive of neural and experiential data is only as good as the instruments feeding it. Psyntient's approach has two parts:

• Ground — our first-party instrument. An EEG-based device that captures neural recordings paired with structured reports, and replays them as immersive VR experiences that can entrain toward target states. Read more about Ground →
• Open ingestion. The Archive is designed to be device- and modality-agnostic. Any consented neural data stream, from any partner instrument, can flow in — so the dataset isn't bottlenecked by a single hardware path.

A dataset like this can only exist if individuals trust the boundary between their personal data and collective research. That boundary is the Personal Neural Vault: a secure, user-controlled layer that decides what leaves a contributor's device and what stays private. Consent is granular, revocable, and auditable. The Vault is not a feature of the Archive; it is the precondition for the Archive to exist. Read more about the Vault →

A dataset only becomes infrastructure when other people can read it. Two AI agents make the Archive legible:

• The Architect — the internal AI that organizes the Archive, links related sessions, and surfaces recurring patterns across contributors.
• The Noetic Interface — the public read layer. Researchers, developers, and AI systems can query the Archive in plain language as a conversational agent, or through a backend API for programmatic access. Read more about the Interface →

The Archive is the substrate. Two surfaces let the rest of the world build on top of it:

• The Marketplace — the application layer. Third-party developers, clinicians, and researchers can ship tools that read from (and contribute to) the Archive through the Interface. Read more about the Marketplace →
• Partnerships — the growth engine. Device makers, AI labs, research institutions, and distribution partners bring devices, datasets, and reach into the ecosystem. Read more about Partnerships →

Each piece described above strengthens the others. Concretely:

• More signal in — every new session and every new partner dataset improves the patterns the Architect can find.
• Better patterns out — stronger findings attract more researchers, more device partners, and more applications.
• More applications — each new tool in the Marketplace generates new sessions and surfaces new questions worth asking.

The result is a dataset whose value grows non-linearly with participation, sitting underneath an ecosystem whose participants have direct incentives to grow it.

One ecosystem, four primary beneficiaries:

• Frontier AI labs — gain a new class of training data: structured signal about subjective experience. AI & Data Partnerships →
• Neuroscience and BCI researchers — get a shared corpus that pairs neural recordings with rigorous phenomenological data. Research → For Researchers →
• Developers and clinicians — build directly on top of the Archive through the Interface and the application layer. Marketplace →
• Individuals — keep a private, sovereign record of their own neural and experiential life, and choose, on their own terms, whether and how to contribute. Ground → Vault →

Psyntient takes no position on the metaphysics of consciousness. Whether you hold a physicalist, panpsychist, dualist, or any other view of the mind-body relationship, the Archive is designed to be useful to you — because what it records (paired neural activity and structured first-person report) is evidence any of those views has to account for.

That the recurring structures of human experience are real, detectable, and mappable — and that the archive itself is one of the most important datasets of the coming decade, for science and AI alike.

And that the right shape for that work is not a single lab or a single product, but an ecosystem: an open instrument layer, a sovereign consent boundary, a compounding shared archive, and an application layer where everyone who contributes also benefits.

Psyntient aims to help guide the development of AI and neurotechnology toward supporting human wellbeing and expanding our capacity for self-understanding — and, more broadly, toward forms of growth often described in philosophical or spiritual terms. Decisions are made on a research timescale; we prioritize methodological care and accumulating evidence over rapid release cadence. Partners, collaborators, and advisors can engage through Collaborate, Partnerships, or the Science Advisory Network — and our roadmap lays out what comes next.