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About Aradigm AI

Why we exist

Healthcare is constrained by human bandwidth, fragmented data, and delayed action. Clinicians, nurses, and care teams are asked to do more with less while patients need continuous support.

Aradigm AI builds systems that augment people rather than replace them: agentic AI that reasons over real-world context, workflows that coordinate the next right step, and interfaces that extend care into clinics, homes, and post-discharge settings.

Founder

Brahma P. Sen, Founder of Aradigm AI

Brahma P. Sen

Founder, Aradigm AI

With more than 17 years in healthcare data analytics, quality improvement, and risk programs, Aradigm AI was founded to turn that experience into products that improve care in practice. The work spans opioid utilization and misuse, population health, Medicaid, claims, care coordination, and AI-enabled clinical workflow with the focus on RiskSignal AI and the broader Aradigm platform.

  • 17+ years of Healthcare Data Analytics
  • Health Quality Improvement and Quality of Care
  • Opioid Utilization and Misuse
  • Claims and Care Coordination
  • Population Health and Medicaid Programs
  • Risk Analytics
  • AI-enabled Clinical Workflow
  • Project Management and Business Development
  • Software Architecture and Implementation

Our platform portfolio

The broader Aradigm platform spans the full arc of intelligent care: identify risk and coordinate recovery to support daily health and embodied delivery in the physical world.

Risk Management and PreventionOutcome and ROI driven

RiskSignal AI

Identifies barriers to care and coordinates interventions.

Clinical workflow

Clinic-In-Pocket

Clinical workflow support for patients and care teams.

Consumer health

Health Companion

Personal health snapshots, accountability, and proactive guidance for everyday wellness.

Robotic care platform

Robotic Care Platform

Robotics-enabled infrastructure extending clinical intelligence into the physical world.

Pain intelligence workflow

PainSignal AI

Reducing opioid dependence by combining biomarkers, wearables, and patient-reported outcomes.