Cortical Labs develops a biocomputing platform that integrates living neurons with silicon hardware to create hybrid biological–digital systems. The company’s flagship system, CL1, embeds lab-grown neurons onto a silicon substrate to form a functional neural network. This approach, referred to as silicon-embedded biology, is designed to enable direct interaction between biological neurons and computational infrastructure. Cortical Labs positions its technology within experimental computing and neuroscience research contexts.

The platform allows cultured neurons to receive inputs and produce outputs through real-time neural code execution. By interfacing living neural networks with software-defined environments, the system enables neurons to learn and adapt through feedback-driven tasks. Electrical signals are exchanged bidirectionally between the biological network and silicon, allowing controlled stimulation and readout of neural activity. This setup supports investigation of learning, plasticity, and computation in biological systems under tightly controlled conditions.

Cortical Labs targets applications in neuroscience research, biocomputing, and exploratory artificial intelligence. The CL1 platform is intended for laboratory use rather than clinical or consumer deployment. Its work reflects growing interest in leveraging biological intelligence as a computational substrate and in studying learning systems that differ fundamentally from traditional silicon-based computing architectures.