Open-source foundations. Commercial solutions for regulated industries.
The statistical engine behind everything we build. Use it directly, contribute to it, or build on top of it.
GPU-accelerated statistical computing for Python
Validated against R to machine precision. Regression, survival analysis, ANOVA, mixed models, Monte Carlo, multivariate normal MLE, and more. CPU backends match R exactly; GPU backends validated against CPU with documented tolerances.
Biotech domain statistics built on PyStatistics
Power analysis, dose-response modeling, diagnostic accuracy, pharmacokinetics. Everything a biostatistician needs, built on a foundation validated to machine precision. Designed to be called by applications or used directly.
Statistical computing platform for biotech
A governed, auditable, GPU-accelerated analysis platform built for biotech companies. Zero-install web access, multi-tenant data isolation, and immutable audit logging for every analysis run.
The math is free — SGC-Bio's statistical capabilities come from PyStatsBio, which is open source. What you pay for is the platform experience: governance, auditability, GPU routing, authentication, and enterprise-grade infrastructure.
SGC-Bio is built on a shared platform designed to power future verticals for finance, insurance, genomics, and other regulated industries.
Want to code? Use PyStatistics and PyStatsBio. Free forever.
Want a governed, auditable platform? Use SGC-Bio.
The math is open source. The platform is the product.