The Hardest Problem in Neurotech
Last week, our founder Jiali sat down with fellow neurotech founder Brian Pepin, to explore a shift that feels both urgent and inevitable. Brian described the future of neurology as a move from reacting to damage to predicting and intervening before symptoms appear. Neurodegenerative cascades often begin in our 40s or 50s. By the time a diagnosis is made, many feedback loops are already set in motion. The opportunity ahead is prevention, not late stage rescue.
One line stayed with us long after the evening ended. “The hardest problems in neurotech are not engineering problems.” Despite 2,500 channel implants and adaptive stimulation systems, we still do not fully understand the diseases we are trying to treat. More hardware alone will not solve that gap. What we need is better human data at scale. Fewer isolated studies of ten patients. More longitudinal insight across hundreds of thousands of people. If we want predictive neurology to be real, we need infrastructure that can surface early change in everyday life.
Brian also shared his belief that we are roughly a decade away from a GLP-1 moment for brain health. A disease modifying therapy for Parkinson’s or Alzheimer’s with a strong safety profile could shift the entire landscape, first as treatment, then as prevention. But even that future depends on detecting change earlier and running smarter trials in humans. This is the work that drives us at Soma. Everyday signals. Earlier insight. A more proactive relationship with brain health.
We are just getting started. There will be many more conversations like this as we continue to gather researchers, builders, clinicians, and the curious to rethink what brain health can look like in the next decade. We hope to see you at the next one.
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