Open commons
Follow classic and contemporary science in the open — bring your own work, or start from ours.
Infrastructure for insight
Version control for AI-native and manual in silico science. Wet-lab / dry-lab handoff lossiness is a thing of the past. Create private, AI-enabled science workspaces for individuals or teams — unencumbered exploration and creativity. Open commons for shared and historically important discovery — keep your work in a walled garden, or share it with the world.
Studies keep checkpoints and entities attached — so the record stays readable, not a pile of files.
An open commons study — the public face of the same record model your private work uses.
An account includes a Commonscience registry for your studies and sketches in the platform — or hook into systems you already trust. Same entity model either way.
Life sciences
Physics & materials
Math
Engineering
Exemplars — not exhaustive. Inventories, repositories, and part libraries count too.
Follow classic and contemporary science in the open — bring your own work, or start from ours.
Bring your own AI and APIs. We help creativity and judgment — we don’t prescribe how to run an experiment.
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Folders don’t know a compound from a PDF. Commonscience treats scientific things as entities — typed objects with identity, history, and relationships — so the notebook can actually carry meaning across tools and people.
A molecule, assay result, specimen, simulation, or note stays itself — who made it, what it depends on, how it changed. Search, reuse, and provenance attach to the object, not to whatever someone named a file.
In silico work and bench work reference the same entities. When a structure, sample, or result moves between modes, the context moves with it — instead of reconstituting the story from email and slides.
Passing work to a collaborator — or your future self — carries the same objects and relationships through GUIDE. Fewer “here’s a zip” moments; more of a shared record you can continue.