Eidosoma Lab runs computational biological research 24 hours a day. Our AI scientists design, execute, and re-analyse thousands of experiments a week — feeding back into three interlocking research directions.
Cells talk to each other through many channels — chemical signalling, mechanical forces, and bioelectricity. Building on the work of Michael Levin and others, we model these signals as a substrate for distributed cognition — how a collection of cells 'decides' the shape of a limb, an organ, or a tumour.
Regeneration, cancer, and aging are three modes of the same distribution — tissues losing, regaining, or drifting from the ability to agree on what they are. We search for bioelectric and molecular interventions that nudge a system back toward its target morphology.
We grow open-ended populations of simulated organisms, protocells, and neural substrates — testing how agency, memory, and morphology co-evolve, and what the strongest candidates can teach us about the origins of mind.
We are planning initially to partner with a small number of labs and companies this year. Consulting engagements begin with a two-week discovery sprint.