Current AI systems excel at statistical pattern recognition but struggle with continuously changing environments that require temporal reasoning, adaptation and efficient decision making. RebuildAI is developing a new generation of artificial intelligence that combines Spiking Neural Networks, predictive self-supervised learning based on Yann LeCun’s Joint Embedding Predictive Architecture (JEPA), and biological validation using human neuro-organoids.

Rather than competing directly with deep learning on image classification or large language models, our goal is to develop AI for problems where biological intelligence demonstrates clear advantages: adaptive robotics, real-world navigation, autonomous decision making and dynamic environments. We validate our mathematical models against living neuro-organoid systems, enabling a unique closed-loop research methodology that continuously improves the computational architecture.