Do we need a finished device?
No. A clear signal hypothesis, a task, and a way to observe success are enough to start a useful conversation.
We are looking for researchers, device builders, clinicians, and systems thinkers working on the interface between biological intelligence and machines.
Share a short description of your system, the signal you are working with, and the part of the loop that still feels impossible.
hello@neuronaq.com ↗We are open to conversations around datasets, validation protocols, assistive applications, and human-in-the-loop evaluation.
research@neuronaq.com ↗Tell us what you can measure, where it breaks, and what a useful action would look like.
We map datasets, hardware constraints, validation protocols, and human-in-the-loop safeguards.
Move from a compelling demo to a system that can explain, abstain, recover, and improve.
We map the user, signal, device, task, and failure mode before discussing a model.
We establish data quality, a simple decoder, and a measurable human-in-the-loop control target.
We test drift, ambiguity, correction, fatigue, and recovery under realistic constraints.
Continue as a research collaboration, a prototype sprint, or a deployment-readiness program.
No. A clear signal hypothesis, a task, and a way to observe success are enough to start a useful conversation.
Yes. We can scope a validation protocol, an internal prototype, or a public-facing demonstration depending on the stage of the project.