BiOS
A managed compute workspace for your team.
- VSCode, RStudio and Zed
- Python, Julia and R
- Stan and JAX/NumPyro
- Built for programmers and AI agents
AI-assisted pharmacometrics
Routine PK/PD analysis, automated from raw data to report.
VeloMetrix automates data ingestion, NCA, model selection, simulation and report generation. You stay in control: every step is explainable and open to review.
The workflow
Five steps, each one inspectable
VeloMetrix prepares, proposes and documents. The analyst reviews, decides and signs off.
Data ingestion
Raw concentration, dosing and study data turned into an analysis-ready dataset. The hardest step, and our focus.
NCA
Non-compartmental analysis with every setting visible and reviewable.
Model selection
Candidate models fitted and compared, with the reasoning laid out.
Simulation
Simulations from the selected model for the questions you ask.
Report
A report draft generated from the analysis, ready for your review.
Match the analysis to the decision
One team, three ways to work
VeloMetrix sits between a secure workspace for your own code and bespoke modeling when the decision warrants it.
VeloMetrix
Routine PK/PD automated end to end.
- Data ingestion and NCA
- Model selection and simulation
- Report generation
- API with an R package (vmxr) and CLI (vmx)
Complex modeling
When the decision warrants it, we build the model with you.
- Built with your team
- Open source: Stan, JAX/NumPyro and Julia
The beta program is open
Built by Generable, a Bayesian modeling and pharmacometrics team. Bring a real analysis and we will work through it with you.