Better integration before more automation

The first product hypothesis is deliberately narrow: a research-to-clinic MVP for GAD assessment and treatment-pathway stratification, initially used under clinician supervision in selected research or GGZ settings.


Structured clinical and cognitive assessment

Exploratory multimodal profiling

Clinician-facing visualisation of patterns and uncertainty

Longitudinal clinical and cognitive monitoring

Research support for treatment-response

hypotheses

  • What the first version will not do

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It will not diagnose GAD or another condition.

It will not autonomously prescribe or select treatment.

It will not replace a qualified clinician.

It will not claim validated predictive accuracy before independent testing.

It will not require QEEG if that modality fails to add meaningful value.

Implementation intent

Principle

Show evidence, uncertainty and override options rather than automated conclusions.

Clinician in the loop

Compare simple clinical models with increasingly complex multimodal models.

Progressive evidence

Minimise data, separate identities and use controlled, auditable access.

Privacy by design

Measure assessment time, usability and integration burden in real practice.

Workflow fit

Define intended purpose early and review MDR and EU AI Act implications.

Regulatory awareness

Explore a validation partnership

If your organisation works in anxiety care, neuropsychology, cognitive rehabilitation, QEEG or responsible medical software, we would welcome an introductory conversation