Connected · Reproducible · Dynamic

Your discoveries
compound on us.

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.

Johnson & Johnson Innovation Medicines PTC Therapeutics Rezo Therapeutics University of British Columbia INSERM ProMega WUSTL MSD

Built for how you actually work

Whether you explore data in a browser, ask the biology question, or build pipelines in code - Mass Dynamics meets you where you are.

For Omics Scientists

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

For Biologists

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

For Bioinformaticians

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
The problem

Scientists move fast.
Their systems don't.

An experiment lands. A folder opens. Everything starts from scratch. Yesterday's work doesn't compound.

DESeq_pipeline.R ALEX_ANALYSIS_v3 FINAL_USE_THIS.csv sample log2FC p-val qval S_011.620.010.04 S_02-0.410.080.21 S_032.180.000.00 S_040.740.040.12 S_05-1.310.020.07 heatmap.png FIGURE_FINAL_v7 tsne_clusters.png samples_qc.png analysis_pipeline.py def run_qc(data): normalise() batch_correct() return downstream() # TODO: rerun w/ v3 data # which one was final? if __name__ == "__main__": MAYBE_USE_THIS.R ~/runs $ $ nextflow run pipeline.nf executor: local (12) [1a2b3c] DOWNLOAD_DATA [100%] [4d5e6f] QC_RAW [ 90%] [7g8h9i] SEARCH_DB [ 30%] [8j1k2l] QUANTIFY [ ? ]
Proteomics Transcriptomics Metabolomics Phenotypes Public data Literature Experiments
The shift

What if every experiment made the next one smarter?

Shared context across experiments, teams, and omics. A substrate where past work is never thrown away - it shows up when you need it.

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
Platform architecture

Trusted infrastructure.
Compounding scientific impact.

Mass Dynamics strengthens the interface, scientific memory, and enterprise foundation so every experiment builds on the last.

Start exploring - free →
API > md runs UNIFIED INTERFACE How users and agents access and act on knowledge. Proteomics Transcriptomics Metabolomics Phenotypes Public data Literature Experiments CONNECTED SCIENTIFIC MEMORY Shared knowledge, context, and entity relationships that compound over time. ENTERPRISE FOUNDATIONS Your data, securely stored and governed.

Explore what's possible.

Move fast, without losing confidence. One workspace, every experiment - for you, your team, and the agents you work with.