Eidosoma AI Scientists are always-on research agents that scale the work of the humans they work for. They read the literature for you, propose hypotheses, write and run hundreds of computational experiments in parallel, and surface the few that matter — letting a small team operate at the scale of a large one, without losing the agency, taste, or judgement of the scientists they serve. We set these up for partner labs as part of our consulting engagements — every AI Scientist is built, tuned, and handed over through the same process.
Each Eidosoma AI Scientist is assembled from a set of composable modules — below are three of the core ones. Tap to unfold.
The CIP reads the internet the way a lab reads coffee: every morning, in large quantities. It crawls preprints, patents, GitHub commits, conference schedules, patient registries, and lab-notebook blogs — then filters, cross-references, and rewrites findings as context for your ongoing projects. Novelty, surprise, and contradiction are prioritised over volume.
The ECM decomposes a research question into runnable experiments, spawns a team of specialised AI coders, reviews their pull requests, and orchestrates execution on the cluster. It keeps a full experiment graph — every run, every parameter, every negative result — so that nothing is ever re-discovered by accident.
Good science rarely comes from climbing the steepest gradient. The Evolution Engine maintains a living archive of diverse candidates — models, protocols, organisms, hypotheses — and keeps exploring the space of what has not yet been tried. Underneath: MAP-Elites, novelty search, and open-ended divergence.
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.