You've been ignoring the signs. They're getting louder.

A physician-designed SaaS platform for health AI ethics compliance — automated bias detection, ethical risk scoring, patient safety checklists, and regulatory-ready reports. Be proactive, not reactive.

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Your AI makes health decisions.
But who checks the ethics?
AI ethics consultants lack healthcare expertise. Healthcare compliance focuses on legal, not ethical design.

"If you're going to be a doctor, you have to think about the ethics of what it is you're doing, especially if your side gig is going to be something healthcare related."

— Reddit r/medicalschool (89 upvotes)

"Medicine would be terrifying if it tried to be just like tech. However, I feel that many of the hierarchy-busting, information sharing, and collaboration efforts pioneered in software development could be hugely beneficial."

— Reddit r/medicine (89 upvotes)

"I am an MD and all of our training is focused on learning medicine and there is very little in the way of business or entrepreneurship taught in school."

— Reddit r/Entrepreneur
78%
of health AI products have no ethics review
$4.7B
in AI health product recalls & lawsuits
2026
EU AI Act health provisions take effect
0
SaaS tools bridging AI ethics + clinical safety
Ethics compliance,
automated and auditable.
The same ethical review a clinical IRB would demand — built into your development workflow.
🔍

Bias Detection

Automated scanning of your AI model outputs for demographic bias, representation gaps, and disparate impact across patient populations.

📊

Ethics Risk Scoring

A quantified ethics risk score for your product — track it over time and benchmark against industry standards.

Safety Checklists

Patient safety checklists designed by physicians — ensure your AI doesn't harm the people it's supposed to help.

📋

Audit Trail

Complete documentation of every ethics decision, review, and remediation. Ready for regulators on day one.

📄

Regulatory Reports

Generate reports aligned with EU AI Act, FDA guidance, and emerging health AI regulations worldwide.

🤝

Clinical Review Network

Access physician reviewers who understand both AI and clinical ethics to validate your product decisions.

From ethical risk to compliance confidence.
Four steps to demonstrable AI ethics.
1

Ethics Assessment

Complete our comprehensive health AI ethics questionnaire about your product's decisions and data.

2

Automated Scanning

Our platform analyzes your AI for bias, safety gaps, and ethical blind spots across patient populations.

3

Remediation Plan

Get a prioritized action plan with specific steps to close ethical gaps and reduce risk.

4

Ongoing Monitoring

Continuous ethics monitoring with alerts, audit trails, and regulatory-ready documentation.

Ethics isn't optional. It's your moat.
👨‍⚕️

Clinical Ethics Expertise

Built by a physician trained in medical ethics — informed consent, beneficence, do no harm — applied to AI.

🏛️

Regulation-Ready

Aligned with EU AI Act, FDA digital health guidance, and emerging global health AI frameworks.

🔒

Auditable by Design

Every ethics decision is documented and timestamped. When regulators ask, you're ready.

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