Foundation models transformed AI by learning from large-scale, unlabeled data—but the next breakthrough may depend on richer, more direct signals. This article explores why neural data, grounded in human perception and intention, represents the next frontier for AI, and how brain-based foundation models could reshape everything from brain-computer interfaces to precision diagnostics and intelligent systems.

NeuroAI blends neuroscience and AI, unlocking advances like brain-computer interfaces. It's quickly gaining traction among investors, engineers, and founders shaping the future of tech.

Kaleida Capital backs the pioneers building at the intersection of neuroscience and technology. With deep technical expertise and bold conviction, we’re helping define the next era of human-machine connection.

Manifest Technologies’ journey from Yale computational neuroimaging spinout to Johnson & Johnson acquisition offers a case study in precision neuroscience and NeuroAI. This article explores how machine learning, multimodal neural data, and patient-specific brain mapping can transform CNS drug development, clinical trial design, and therapeutic response prediction.