Technology
Sovereigninfrastructure
Our models, data and compute run under our own control — so results are reproducible, partner data stays protected and our science does not depend on anyone else's roadmap.
- Dedicated computeGPU capacity for training, generation and simulation, scheduled by scientific priority.
- Reproducible pipelinesEvery dataset, model and result is versioned and can be re-run.
- Partner isolationEach collaboration runs in its own segregated environment.
Stack
Four layers, one system
Data layer
Curated public and proprietary datasets with lineage, licensing and consent metadata.
Model layer
Foundation and task-specific models for biology, chemistry and sequences.
Simulation layer
Docking, free-energy and molecular-dynamics workflows at scale.
Lab layer
Electronic lab records and assay data flowing straight back to training.
Why sovereign
Control is a scientific requirement
Reproducibility means knowing exactly which data and which model produced a result. Running our own stack makes that guarantee possible.
It also means partners can share sensitive data knowing it will not train anyone else's model, leave agreed jurisdictions or be retained beyond the terms of the collaboration.