Get started

How would you like to start?

Three ways in - same open, reproducible, scalable workspace underneath. Pick the starting path that fits how you work.

50-second tour · See how your data can compound on us
01 · In the browser

Work visually Recommended

Best for scientists who want to explore results hands-on, no code.

Sign in, drag a dataset in, done. Automated QC and visual exploration in the web app - you land on a working dashboard you can defend, not a folder of files.

02 · API & agents

Work via the API or with agents Beta

Best for bioinformaticians scripting, automating, or building Mass Dynamics into a pipeline.

Codify your workflow end-to-end through our API and Python client - or point an MCP-compatible agent (Claude, Cursor, Codex) at the same workspace and let it do agent-safe omics on your behalf. Gated early access via the Agent Pack beta.

03 · With a hand

Want a hand getting started?

Best if you're not sure which path fits, want your team onboarded, or need IT or security sign-off first.

Bring your data and your questions. We'll show you what auditable looks like - on your data, in 30 minutes. No deck, no script, just a working session.

What discovery teams are saying

The scientist keeps the judgment.

"I can see whether my AI analysis pipeline is actually working."

Alix Battison Postdoctoral Researcher, Cold Spring Harbor Laboratory

"Our teams can reach decisions faster and align on next steps the same day."

Harris Bell-Temin Director of Proteomics, Johnson & Johnson Innovative Medicine

"Clinicians now ask different questions, and explore insights independently."

Vera Ignjatovic Translational Research, Johns Hopkins All Children's Hospital