Netholabs is a London-based deep-tech startup building next-generation neural interfaces and whole-brain emulation platforms for neuroscience research and AI safety applications. The company develops technology to support ethology (the science of animal and human behavior), including digital organisms neurally mapped via AI and empirical data.

The company's technical work spans embedded systems for preclinical neural recording (lightweight headstages for freely moving subjects), signal processing pipelines for noisy biological data, and computational models of brain function. Netholabs is assembling multimodal datasets at petabyte scale to train foundation brain models, with the aim of creating transparent, biologically inspired AI systems that can help researchers study goal formation and alignment.

Netholabs positions its work within two interrelated missions: advancing preclinical neuroscience research by creating accessible, naturalistic behavioral paradigms that address the translation and replication crises in biology, and contributing to AI safety by building interpretable models grounded in real neural dynamics. The company emphasizes open science and community building, including plans for a Neurotech Academy and whole-brain emulation educational programs.