Intelligence, by nature.
Tools for developing biological neural networks. Harnessing the efficiency of cellular intelligence for the next era of computation.
What we're building
Lobe Labs is building the development stack for biological neural networks — from hardware abstraction to experiment tooling to applications. We make biocomputing useful and accessible.
Hardware Abstraction
What CUDA did for GPUs, we're doing for living neurons. A unified API across biocomputing platforms that handles the low-level programming, so the only prerequisite for working with biological neural networks is curiosity.
Experiment Framework
Modular tools for designing, running, and analyzing experiments on neurons. Built-in safety monitoring, statistical validation, and reproducibility tracking.
Applications
Better medicine. Better AI. Biological neural networks offer a model system for drug discovery and disease research — and a ground truth for understanding intelligence itself. By studying how real neurons learn, adapt, and fail, we can build therapeutics that work and AI that learns more like nature does.
Why biological computation?
The human brain operates on roughly 20 watts (the power of a dim light bulb) yet performs computations that the world's largest data centers struggle to match.
Neurons offer a path toward computation that is orders of magnitude more energy-efficient than silicon. They learn, adapt, and self-organize in ways that artificial neural networks can only approximate.
Despite all of this, biological computation remains remarkably under-explored. We think an approach to computing with this much potential deserves real investment in tooling, infrastructure, and accessibility.
Follow the journey
We're building in public. Follow our research, experiments, and open-source releases as we explore what biological neural networks can do.