Selected as Best Overall Capstone

Harvard Medical School Executive Education, "AI in Healthcare," February 2026

HCP-as-Pilot™ v3.5, Updated June 2026 — now with Runtime Governance Infrastructure (RGI) Read the Paper →

Technology amplifies care. It does not replace judgment.

Healthcare doesn't need autonomous AI. It needs the Physician-as-Pilot. AI in the Loop, AIITL

Our Core Principles

Human-Centered Safety

Every AI action must be predictable, bounded, and supervised. Patient safety is non-negotiable.

Clinical Integration and Evidence

We validate capabilities through rigorous testing and align with clinical workflows and standards.

Ethical Transparency

Patients and families must understand how systems work, what they do, and how to maintain control.

Privacy-First by Design

Health data is sacred. We build systems that protect privacy at every layer.

Collaborative Ecosystems

We partner with clinicians, caregivers, researchers, and regulators to build solutions together.

What We Are Building

Safety OS™: Governance infrastructure for AI in the home — consent enforcement, authority boundaries, escalation control, and immutable audit logging for AI systems deployed in private home environments.

Our Promise

Safe

Every capability is validated, bounded, and supervised.

Ethical

Transparency, consent, and human oversight are built in.

Evidenced

We prove safety and efficacy before expanding capabilities.

Collaborative

We build with clinicians, caregivers, and patients—not for them.

Partner With Us

Building the governance infrastructure that defines how AI must behave in private human environments.

REQUEST A SPONSOR BRIEF →