Submit your sample data using this website. We process anomaly detection and send your report within minutes.
FoundationDx designs and automates practical machine learning solutions for healthcare systems and underserved organizations operating in complex data environments. Our focus is simple: helpt to improve patient satisfaction, elevate care quality, strengthen security, and optimize operational performance—using intelligent, scalable unsupervised learning.
We’re a small, founder-led team. That means fast iteration, clear priorities, and solutions built for measurable impact—not complexity for its own sake.
From anomaly discovery and population health management to network and security backends, we build efficient detection systems that uncover hidden risk, missed opportunities, and performance gaps.
We offer quick-turnaround machine learning studies to evaluate how automated anomaly detection can improve the accuracy, efficiency, and impact of your data-driven quality and outcome programs.
Prefer a lightweight start? Ask for a rapid assessment study and a clear, actionable summary of findings.
FoundationDx — clarity through intelligent detection.
Built for real-world constraints: limited time, limited budget, complex data.
Special programs are provided for 501(c)(3) organizations