One market, entered in three places

We are not spreading across unrelated industries. Every route below sells the same stack — the Quantum Virtual Mind (QVM) and its agent layer — to people who work with the same recordings.

Sequenced by difficulty, not by size

First

Neuroscience research tools

Research groups already hold BCI recordings and already want a more interpretable description of what they contain.

Second

Wellbeing and recovery

Meditation, sleep, and stress apps already have consumer distribution and already want a signal beyond self-report. The shortest path from a state reading to something a user notices.

Third

Education and training

Learning platforms and high-stakes training — aviation, surgery, defence — where knowing whether a skill has consolidated has real value.

Fourth

Clinical research

Neurology and psychiatry groups working on conditions that unfold over months and years, where a static record serves clinicians worst.

Why this order

Research first — short sales cycle, no regulatory pathway, and the customers are best placed to test whether the science holds up
Wellbeing second — consumer distribution already exists, and the bar for a useful signal is lower than in a clinical setting
Education third — budgets exist today, no clinical approval needed, works with hardware learners already own
Clinical fourth — the largest opportunity and the slowest; approach it once validation exists

Interpretation, not acquisition

Brain-recording hardware has improved steadily and become cheaper. Research headsets are commonplace, clinical systems well established, consumer devices shipping in volume.

What has not kept pace is interpretation. Most analysis still produces labels — attention high, fatigue detected — without an account of what changed or what would help. The volume of recorded neural data is growing faster than anyone’s ability to explain it.

Where we sit

That gap is our market. We do not compete with device makers; we aim to make their output more useful.

Shared recordings, shared model, shared agents

A company spread across finance, materials, and biology cannot compound — market ticks and molecular simulations have nothing to say to each other.

Recordings from a learning study and from a clinical study are the same modality, the same preprocessing, the same model structure, plausibly the same ethics framework.

The machinery is shared by design

Characterising a healthy departure from baseline and characterising a clinical one are the same operation. See the comparison →

Target segments

Neuroscience research groups

Labs with existing recording data who want an interpretable, longitudinal description of brain state that holds up across a multi-year study. Their difficulty is not collecting signal — it is that a summary score computed at visit one is not comparable to the same score at visit twelve. A model fitted to the person makes those visits commensurable.

BCI hardware and platform companies

Device makers who have solved acquisition and now need something to say about what the signal means. The interpretation layer is where their product differentiates, and it is the part least served by existing tooling. We are a layer behind their product, not a competitor to it.

Education and training platforms

Learning platforms and high-stakes training programmes — aviation, surgery, defence — where knowing whether a skill has actually consolidated carries real cost if you get it wrong. Answer-based assessment tells you after the fact; state-based assessment is the open question we are researching.

Clinical research and neurology

Neurology and psychiatry research groups working on conditions that unfold over months and years, where a static record serves clinicians worst. The value is a trajectory measured against the person’s own earlier state rather than a population norm. Research infrastructure, not a diagnostic device.

On market sizing

Detailed sizing, pricing, and revenue modelling are shared with qualified investors on request rather than posted here. We would rather walk you through the assumptions than post a headline number.