Growing intelligence as a living organism, not training it as a model.

An independent artificial-life lab investigating digital organisms on non-neural substrates without backpropagation or parameter scaling.

One question: is intelligence better grown as a living organism than trained as a statistical model?

A living brain learns continuously, reasons, knows roughly what it does not know, and runs on a few watts. The lab treats that as an engineering direction, not a metaphor. Small and independent by design.

Research horizons, not finished work.

A non-neural, zero-gradient substrate exploring machine intelligence without backpropagation. Designed to compute answers and associative relationships on demand at O(1) on standard CPU architecture.

Research under academic pre-publication embargo.

Mura ALife Labs is actively engaged in foundational artificial-life research. In accordance with mutual non-disclosure commitments and academic publication standards, all formal architectures, codebases, and empirical benchmark results remain strictly under embargo.

Full methodologies, theoretical formulations, and experimental evaluations will be released upon publication of the forthcoming academic paper.

Close to free to train and run. What it needs is data and people.

Full code, implementation details, and benchmark evaluations will be released alongside our upcoming publication. In the meantime, we welcome discussions with academic researchers and institutional collaborators.