345 California Street, Suite 1710
San Francisco, California 94104


Apply the power of machine learning based on fresh discoveries at Stanford to better predict and responsibly contain health care spending for patients and their health insurers.


Combine Stanford-licensed machine learning IP with leading edge clinical interventions to:
  • Extract 4x greater savings from care management activities.
  • Generate as much as $240 million annual savings for a large Blue Cross Blue Shield plan.

Addressable Markets

  • Health insurers (inclusive of Medicare Advantage).
  • Health care delivery systems.

Better Targeting via Cutting Edge Artificial Intelligence

Real time, machine learning can not only predict imminent cost blooms, it can also predict most cost-effective interventions.
The combination enables effective action before cost blooms occur.

A Fresh Approach to Targeting Care Management

Novel prediction approach targets patients who will comprise the largest share of next year’s high-spending patients.

Actionable Insights Before Spending Blooms

A predictive vs. inferential model.

Substantially Larger Net Savings

Stanford analysis of 100 predicted blooms revealed an estimated 15% reduction in annual health care spending, net of the cost of the intervention.

Based on the visionary work of Stanford research faculty

Dr. Nigam Shah

A Scientific Leader in Applications of Machine Learning to Predict Costly Health Crises and Treatment Consequences

  • Associate Professor of Medicine, Funded by five NIH institutes, FDA and seven companies
  • Fellow, American College of Medical Informatics and American Society for Clinical Investigation
  • MS and MD Baroda College (Baroda, India), PhD, Penn State, Postdoctoral Medical Informatics, Stanford

Dr. Alan Glaseroff

A National Leader in Preventing Costly Health Crises

  • Clinical Professor of Medicine and Founder, Stanford Coordinated Care, for patients with complex chronic illness
  • Medical Director, successful risk-bearing IPA, Stanford University and “California Family Physician of the Year”
  • National Faculty, Institute for Healthcare Improvement (IHI), “Better Care, Lower Cost” collaborative
  • MD, Case Western Reserve

Dr. Arnold Milstein

A Scientific Leader in Identifying the Largest Opportunities to Lower Annual Population-wide Healthcare Spending

  • Clinical Professor of Medicine and Director, Stanford Clinical Excellence Research Center
  • Elected Member Institute of Medicine Section of National Academy of Sciences
  • Founder national health care performance improvement firm and Leapfrog Group; former Congressional MedPac Commissioner
  • BA, Harvard; MD, Tufts; MPH, University of California, Berkeley

Backed by Cardinal Partners — Lead Investors

Mckinley and Clarke

  • 160 man-years experience in operations, entrepreneurship, and venture capital;
  • Founding investors in many pre-eminent successes:
    Athenahealth, Visicu (Phillips), Medicode (United), Momenta, Sirtris (GSK), Alnylam, Cubist, Proxima, Alkermes, CodeRyte (3M), Novalis (Trizetto), Vanguard (VIVRA), Automated Healthcare (McKesson);
  • Portfolio today includes many of the most important companies in current environment: Abide, Brighton, lifeIMAGE, Teladoc, Vitals
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345 California Street, Suite 1710
San Francisco, California 94104

Please note: Cardinal Analytx, Inc. is not affiliated with Stanford University.