We are a small research team and we read everything.
Academic groups with recording data who want a more interpretable description of what it contains. We are looking for collaborators to test whether the approach works.
Learning platforms and training programmes who want to explore whether reading cortical state improves on answer-based assessment. We are looking for a design partner for the first study — early partners shape what gets built.
Meditation, sleep, or stress apps who want a signal beyond self-report. We are looking for a partner to test whether state-selected guidance beats a fixed programme — you bring distribution and content, we bring the state reading.
Neurology and psychiatry groups with longitudinal recording data and an interest in whether model-based trajectories track clinical change more sensitively than current summary scores. Collaboration, not a service contract.
We are at the research-to-product stage: the core model is built and benchmarked, three manuscripts are in preparation, and the applications are moving into development. Happy to walk through what exists and what does not.
The three manuscripts are in preparation and not yet public. If you are a researcher in a relevant area and want to read a draft, ask — including the benchmark write-up with its mixed verdict reported in full.
Hardware makers, funders, potential collaborators, or anyone who thinks we have got something wrong. We are a small research team and we read everything that arrives.
The more context you give us, the more useful our reply will be. If you have recording data, tell us what kind and roughly how much.
Lynnwood, WA-98087, USA
We work with partners and researchers worldwide.
About Mindverse Computing
We develop the agentic stack of quantum digital twin learned from BCI data — a full-stack platform that reconstructs an executable quantum-classical state model and routes it into agentic workflows. Our aim is to help research teams understand how learning and disorder move the dynamics a brain–computer interface can see.
Research and development notice
Our platforms are experimental research tools for academic collaboration and proof-of-concept study. We do not provide medical diagnoses, treatment, healthcare services, or any regulated service. All work is developed using public, synthetic, or anonymised research data.