Agent-ready omics for fast-moving scientists.
One workspace where every experiment builds on the last - for you, your team, and the agents you work with.
An experiment lands. A folder opens. Everything starts from scratch. Yesterday's work doesn't compound.
Shared context across experiments, teams, and omics. A substrate where past work is never thrown away - it shows up when you need it.
"I can see whether my AI analysis pipeline is actually working."
"Our teams can reach decisions faster and align on next steps the same day."
"Clinicians now ask different questions, and explore insights independently."
Whether you explore data in a browser, ask the biology question, or build pipelines in code - Mass Dynamics meets you where you are.
You run experiments and need answers fast. Upload your data, point your AI agent at it, see quality-controlled results in minutes - all in a browser. The agent reports back. You decide what to publish. No bioinformatics queue. No black boxes.
See how scientists use MD →You're asking biological questions - pathway, target, mechanism. You want to read the omics, not write code to interpret it. Mass Dynamics gives you the biology layer: enrichment, protein lists, cross-experiment context, sharable views your wet-lab collaborators can actually open.
See how biologists use MD →You write pipelines and need programmatic control. Codify your workflow end-to-end through our API and Python client. Every analysis is versioned, every output reconstructable. Hand collaborators a link, not a folder of files.
See how bioinformaticians use MD →Upload pre-processed results from DIA-NN, MaxQuant, Spectronaut, or other search engines. Mass Dynamics turns scattered outputs into shared, visual context your team can actually use.
Fast AI pipelines are only useful when the outputs can be trusted. Use open, inspectable workflows and shared context so scientists can check what worked, what changed, and what should ship.
Past work should not disappear into folders, scripts, and static exports. Mass Dynamics captures the context around each experiment so yesterday's discoveries can support tomorrow's questions.
Give collaborators a shared place to explore results, compare evidence, and ask better questions. The more context your team builds, the more useful every future analysis becomes.
Move fast, without losing confidence. One workspace, every experiment - for you, your team, and the agents you work with.