Selected as Best Overall Capstone
Harvard Medical School Executive Education, "AI in Healthcare," February 2026
Safety OS™ is Runtime Governance Infrastructure — enforcing consent, authority, and audit before AI actions execute.
Deploy without replacing existing systems.
Operate across hospital, discharge, and home.
Live Phase I deployment producing real-world governance evidence.
Runtime Governance Infrastructure · Safety OS™
Safety OS™ intercepts every AI action before execution. Deterministic. Auditable. No probabilistic fallback. From the hospital, through discharge, into the home.
Human Authority
Clinician • Caregiver • Patient
Defined roles, permissions, liability
Runtime Governance
Safety OS™
Intercepts every AI action before execution.
Deterministic. Auditable. No probabilistic fallback.
AI Execution
LLMs • Agents • Clinical Models
Governed, observable, replaceable
Who are you here for?
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In Europe, this creates compliance risk. In the US, this creates liability exposure.
1 minute 34 seconds. The EU AI Act deadline, the compliance gap, and why runtime governance is now obligatory.
EU AI Act — August 2, 2026
Non-compliance = blocked deployment + fines
FDA, FTC, and liability frameworks
Failure = legal exposure, regulatory action, reputational damage
Regulators do not require better monitoring. They require enforceable control before execution.
Every safety-critical system has a control plane:
AI executes. Humans govern.
It sits between human authority, AI systems, and infrastructure — enforcing compliance and defensibility at runtime.
93 seconds. How Safety OS enforces authority, consent, escalation, and audit at runtime.
▶ How Safety OS enforces authority, consent, escalation, and audit at the moment AI acts — not after.
Defines and enforces human control boundaries.
Validates and tracks consent in real time.
Triggers human intervention when required.
Prevents unsafe or unauthorized actions.
Records every decision, action, and outcome.
This transforms AI from uncontrolled tools into compliant, defensible systems.
Aviation
Air Traffic Control governs aircraft
Healthcare
Safety OS governs AI systems
Control infrastructure makes safety possible.
If your system is high-risk, this is not optional.
Real-World Proof
We deployed governance where failure is most dangerous — the home.
This is not a prototype. This is compliant, defensible AI in production.
Every deployment generates governance data — building the foundation for certification and standards.
Every decision is enforced, logged, and attributable in real time.
Audit sample output is simplified for clarity — full enforcement logic and policy models are proprietary.
AI systems must not only perform — they must prove they operate safely.
Safety OS Certified™ validates that systems:
The standard is open. Certification is how trust is verified.
AI executes. Humans govern.
August 2, 2026. High-risk systems must demonstrate runtime control or face blocked deployment.
FDA, FTC, and tort liability require defensible AI. If you cannot prove control, you are exposed.
Every major framework now requires the same thing: enforceable control at the moment of decision.
Safety OS is the runtime control plane that makes AI compliant in Europe and defensible in the US.
Find the information most relevant to your role.
For: Investors · Health System CEOs · Commercial Strategy
The “why invest” story — investment thesis, market opportunity, and the RGI governance infrastructure gap in healthcare AI.
Request Investment DeckFor: CTOs · System Integrators · Clinical IT
The “how it works” story — how Safety OS enforces RGI with governance, bounded autonomy, and runtime accountability for clinical AI.
Explore Safety OSFor: Compliance Officers · DPOs · Regulatory Affairs · Legal
The “is it compliant” story — EU AI Act, NIST AI RMF, and ISO 42001 alignment, mapping Safety OS to both EU compliance and US defensibility requirements.
Review GovernanceFor: Pharma Partners · Patient Advocacy Groups · Research
The “build with us” story — collaborate on Runtime Governance Infrastructure for agentic AI, humanoid robotics, and in-home healthcare.
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