Prepared Data

Prepare

Prepare your data as specified or leverage your system's Json-based API.

View details »

razorC.net CMS

Submit

Submit your sample data using this website. We process anomaly detection and send your report within minutes.

View details »

razorC.net CMS

Learn

Learn which factors highly associate with outcomes.

View details »


FoundationDx

 

Applied Machine Learning for Healthcare & Complex Data Environments

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.

Patient satisfaction Quality outcomes Process performance Security backends

Founder-led and self-funded

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.

High-value anomaly detection at modest cost

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.

Rapid proof-of-concept ML studies

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.

Talk to us →

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

 

Contact

General Questions

FoundationDx

Philadelphia, PA.
Phone: (267) 358-0984

News

 

 

 

Machine Learning vs. LLMs?