Enterprise-grade statistical software has been locked behind six-figure licenses for decades. The incumbents want you to believe that rigorous, validated statistics is only for companies with deep pockets and dedicated teams. We disagree.
SGCX exists to democratize enterprise statistics. We build open-source statistical libraries that anyone can use — validated to machine precision, GPU-accelerated, free forever. And we build affordable commercial platforms on top, so that regulated industries get the governance and auditability they need without the gatekeeping they're used to.
SGCX is currently a one-person operation. Every line of code, every statistical validation, every page of documentation — it's all built by a single founder with a background in applied mathematics, machine learning, and software engineering, working in close collaboration with AI tools.
We're upfront about this because we believe transparency builds more trust than pretending to be bigger than we are. The code speaks for itself: validated against R to machine precision, open source, fully documented. You can read every line on GitHub.
We say "we" on this site because SGCX is designed to grow — and because the open-source community is already part of the story. But today, if you email contact@sgcx.org, you're talking to the person who wrote the code.
We believe that the most significant advances in computational statistics will come from honest partnerships between human domain expertise and AI capabilities. Rather than hiding AI assistance, we celebrate it as a legitimate and powerful approach to building software.
Statistical
GPU-accelerated
Computing
X — the vertical. SGC-Bio, SGC-Finance, SGC-Insurance... SGC-X.
Biotech is first, but it won't be last. Every regulated industry that depends on applied statistics — finance, insurance, genomics, and more — deserves better than what the incumbents offer. We're building the platform to serve them all.
PyStatistics and PyStatsBio are free and open source — forever. We believe the math should be a public good. Our commercial products sell the platform experience — governance, auditability, infrastructure — not the statistical methods themselves. You should never have to pay for a regression.