Cobrain Labs
Transistors were built for math. Neurons are built for intelligence.
We are building the hardware stack for biological computing.
Thesis
The biology works. The hardware has to catch up.
Biological neural systems already compute efficiently. What is missing is the hardware around them: the interfaces, the life support, and the instrumentation that turn a culture into something a person can actually use.
- 01
Microfabrication
Electrode arrays and microstructures patterned with standard semiconductor processes, which keeps every interface identical to the last.
- 02
Neural Interfaces
High channel count recording and stimulation, close enough to the tissue to close the loop in real time.
- 03
Tissue Perfusion
Media handling, oxygenation, and thermal control that keep larger constructs alive while they are under load.
- 04
Instrument Integration
The electronics, enclosure, and control software that make the stack a single instrument you can switch on.
Focus Areas
Built for biocomputing from the start.
Every layer is designed for this application, down to the process choices. We are building toward an instrument that ships: something a lab can order, receive, and run.
Co-Designed Layers
Biology, electronics, and fluidics are specified against each other from the first drawing, so tolerances line up when the system comes together.
Built to Leave the Lab
Hardware that tolerates shipping, handling, and operation on someone else's bench.
Specified and Measured
Repeatable benchmarks and documented specifications, so performance is something you can check.
Manufacturable by Design
Processes chosen for yield and repeatability, so the tenth unit is built the same way as the first.
Philosophy
Intelligence is already biological.
Evolution spent hundreds of millions of years optimizing neural computation. Simulating that in silicon means paying for the same answer twice, at far worse efficiency.
So we build the hardware to use it directly, and we build it to ship. Our near-term goal is a biocomputer on your bench, running your experiments, under your control.
Contact
For collaboration, partnership, or direct technical inquiry.
We are interested in organoid computing, neural interfaces, microfabrication, bio-integrated systems, and energy-efficient AI hardware.