Everything you need to know about Osmo.

No. Osmo is designed for wet lab scientists with no computational background. You describe your experiment in plain English - compound names, what you tested, what you observed - and Osmo handles everything else.

Osmo supports protein structure prediction, protein-ligand binding analysis, compound optimization, binding affinity prediction, and de novo compound generation. If you have a wet lab result and a computational question, Osmo can likely help.

ChatGPT generates text. Osmo runs real computational biology workflows using specialized scientific models - AlphaFold2, Boltz-2, Chai-1, ESM-C - and returns actual predictions, not summaries of existing literature.

Yes. Osmo never stores your scientific data. When you run an analysis, your data is sent to specialized AI models for computation and immediately discarded - these models do not train on your data in any way. For organizations that require complete data isolation, Osmo supports on-premise deployment where every computation runs entirely on your own infrastructure.

Just a description of your experiment - your compound name or CAS number, what target you're studying, and what you observed. Osmo resolves the technical details automatically.

Osmo is built for wet lab scientists at biotech startups and academic research labs who generate experimental data but don't have direct access to computational biology tools or bioinformatics teams.

We onboard every research team personally. After you book a demo, we'll walk you through Osmo live with your actual research questions and set you up with access tailored to your workflow.

Your experimental data stays with you. Osmo is designed with data privacy as a core constraint, not an afterthought. We'll walk through data handling specifics during your onboarding call.

Osmo uses flat monthly subscription pricing. We'll share pricing details during your demo - we scope it based on team size and usage volume.