Intelligence isn’t artificial. It’s natural
A data-free foundation model for machines to behave like nature
600 million years of evolution
Nature has evolved brains that adapt effortlessly to the unpredictable world. At Opteran, we’ve reverse-engineered brain algorithms to create autonomy that’s as robust and efficient as nature itself. Unlike data-driven models that rely on artificial datasets and struggle with unexpected "black swan" events, our neuromorphic algorithms deal with uncertainty as they evolved in the world.
How do we access brain algorithms?
After 8 years of research Opteran has created a repeatable way to harness 600 million years of evolution. We use neuroscience, not data science, to solve autonomy. We understand how brains act to solve real world problems. Then separate the neuromorphic algorithms that drive those behaviours and redeploy them as software to make any machine autonomous
We identify valuable behaviours in nature
Separate the neuromorphic algorithms
Deploy as software for autonomous machines
Neuromorphic Software
Exact nature’s algorithms
Natural algorithms evolved to innately solve tasks through billions of years of massively parallel training
Computational Neuroscience brains / biology centric
Low: energy, compute and cost
Artificial Intelligence
Create human algorithms
Engineer-derived algorithms and caricatures of biological neural systems with limited training
Deep Machine learning data / compute.
High: energy, compute and cost