Chimerion

We develop wetware, hardware, and software for the next frontier of power efficient, future-proof computing: biological computers.

Custom Brains

We are building an alternative compute substrate. One that does not rely on silicon. A living neural computing platform that operates at ultra-efficient power levels, self-optimizes, and self-programs.

In other words, custom brains.

Low-Cost Hardware

Even under our highly constrained bootstrapped resources, in 6 months, we have developed in-house:

A patent pending Ultra-Low-Cost Modular Culture System that is 300 times less expensive than academic standard and is specifically optimized for biocomputing performance.
A patent pending Neural Interface Device that is 100 times less expensive than commercial equivalents.
A patent pending reinforcement learning architexture for programming biocomputers

All of which are scalable by design.

Vision

Chimerion aims to solve practical problems using our technology. We are focusing on developing smarter autonomous systems, ultra-low power datacenters, biology-powered AI, and enhancing the neural capabilities of humans.

Why Biological Computing?

Power Efficiency: Biological neural networks operate approximately 550,000 times more efficiently than the best silicon computing platforms. The most powerful supercomputer to-date, the El Capitan operates at 2.746 exaFLOPs / 30 Mega Watt, costing about $138,312 / day of operation. Over $50 million per year. The Human Brain operates at 1 exaflop / 20 Watt. Approximately 550,000 times more efficient than the best supercomputer.

Self-Optimization: Inherent neural plasticity of neural substrate drives continuous performance improvement and reduced algorithmic overhead. In other words, self-reprogramming.

Obsolescence Resistance: The lifetime of a typical NVIDIA GPU in an AI datacenter is approximately 18 months. Brains take decades to begin to degrade. With our biocomputing culture system, we could almost entirely avoid hardware obsolescence.