Tenenbaum Industries

Transistors were built for math. Neurons are built for intelligence.

We are building the hardware stack for biological computing.

Thesis

AI needs a new hardware paradigm.

Biological neural systems already demonstrate efficient intelligence. The challenge is building the interfaces and support systems to make them usable at scale.

Advanced Microfabrication

Using existing semiconductor methods to build interfaces for biological neural systems.

Neural Interface Development

High-resolution, low-latency interfaces for closed-loop interaction with neural tissue.

Large Scale Tissue Perfusion

Support systems for larger neural tissue constructs and longer-duration operation.

Design for Scalability

System design grounded in existing infrastructure, manufacturing, and scale constraints.

Focus Areas

The bottleneck is not biology. It is engineering.

Biological Computing Infrastructure

The hardware and support systems required to operate biological compute reliably.

Neurotechnology

Interfaces, instrumentation, and tools for high-bandwidth neural interaction.

Sensing and Control Systems

Measurement, feedback, and closed-loop control for stable system behavior.

Applied R&D

Focused engineering programs that turn difficult ideas into working hardware.

Philosophy

Biological computation is a hardware problem.

AI demand is growing while semiconductor efficiency gains are slowing. Neurons were designed for intelligence. Transistors were not.

Our view is simple: artificial intelligence is limited by the hardware it runs on. Intelligent systems require intelligent hardware.

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.

max@tenenbaumindustries.com

Eugene, Oregon