Running AI like neurons,
on neurons.
Neurons are the most efficient compute substrate. We apply them directly to AI.
UC Berkeley
Google
Quantic MBAWhat we build
One platform: neurons on a chip. Three products, each solving a different part of the AI stack.
Data
We extract data from living neurons to optimize AI models.
Commercial pilots coming soon.
Benchmarks
We observe how neurons solve a task and turn that into silicon-ready recipes.
Substrate
We train AI models directly on neurons.
Result: smarter, leaner, more sustainable AI.
Cofounding team: from deep research to market fit
Neuroscientists who run experiments on living neurons. Engineers who have trained large AI models and run systems at scale. Neurotech built, pilot data owned, first customers in discussion.
Growing deliberately: A-players only.
Before Neuraffica
Scientist at UC Berkeley, PhDEngineer at GoogleMBA, Quantic School of BusinessCurrently in stealth · San Francisco · Silicon Valley
Talk to us
Researchers & engineers
ML and AI researchers. Systems neuroscientists with a biophysics background. Not on the list but exceptional? Write anyway.
Join us