Patient chat, clinician copilot, call-center assistant, or care workflow.
TRUST AT MACHINE SPEED
The clinical safety
layer for
health AI.
When high-stakes health AI meets high-dimensional clinical risk, generic guardrails are not enough. CureGate makes every AI interaction governable before it reaches a patient, clinician, or health workforce.
Model agnosticRisk calibratedRuntime API protection
THE PROBLEM
Health AI needs more than a generic guardrail.
A response can be plausible and still be unsafe: too actionable for the available context, blind to urgency, overconfident about weak evidence, or appropriate for a clinician but unsafe for a patient. CureGate is built for these clinical differences.
THE CUREGATE DIFFERENCE
When clinical judgment meets risk mathematics.
CureGate combines independent safety signals—potential harm, actionability, uncertainty, missing context, evidence insufficiency, privacy exposure, and policy constraints—into a calibrated routing decision.
Its proprietary detector weights, calibration logic, and decision optimization remain protected. Every customer decision remains inspectable, versioned, and auditable.
CLINICAL RISK ENGINE
Risk = f(harm, actionability, uncertainty,
context, evidence, privacy, policy)Signal ensemble+Organization posture+Hard safety overrides
→ a clear, usable decisionTHE PLATFORM
An independent
control layer for health AI.
CureGate sits between a customer’s AI product and the person relying on it. It does not replace your model. It makes the model’s output governable.
01Patient, clinician
or health-AI product
or health-AI product
02CureGatePolicy · risk detection · evaluation
03Safe next actionApprove · rewrite · ask · verify · escalate · reject
BUILT FOR THE REAL PRODUCT
Your application stays yours.
CureGate protects the interaction.
Connect CureGate with one API call around your existing health AI workflow. Send the user prompt, candidate response, relevant prior messages, language, user role, and approved policy context.
Clinical risk vector · policy enforcement · audit record.
Release, qualify, rewrite, ask, verify, escalate, or block.
WHAT CUREGATE DOES
Designed for the decisions that matter.
Policy-led control
Apply a clear healthcare AI safety posture to each product, audience, and workflow.
↗Clinical risk detection
Identify urgency, unsafe actionability, missing context, false certainty, privacy exposure, and more.
↗Model independence
Protect health-AI products without being locked to one model provider or one generation of AI.
↗Conversation-aware evaluation
Consider relevant prior turns and safety-critical context, not just the last sentence.
↗Actionable outcomes
Return a decision your product can use: approve, qualify, rewrite, ask, verify, escalate, or reject.
↗Audit-ready evidence
Record policy version, risk signals, decision rationale, evaluation ID, and the action taken.
↗WHAT IT IS BUILT TO SEE
Risk families that generic AI safety misses.
Healthcare safety is not one score. CureGate evaluates multiple clinical and operational risk families before choosing what can pass.
DECISION, NOT JUST DETECTION
When AI is uncertain,
CureGate knows
what to do next.
Each evaluation is tied to a policy, records its reasoning, and returns a clear instruction for the customer product.
01Approve
Release the candidate response.
02Qualify
Add an approved limitation or condition.
03Rewrite
Use safer language while keeping the answer useful.
04Ask
Request information essential to a safe answer.
05Verify
Hold the response for an additional check.
06Escalate
Trigger the approved human or urgent workflow.
07Reject
Block the unsafe request or response.
BUILT FOR EVIDENCE
Safety that can be examined.
CureGate is built on years of clinical, behavioral, and AI-safety research. Its policy-led approach is evaluated against a clinically approved universal healthcare safety benchmark spanning 18 risk categories.
Designed around clinically reviewed cases, real interaction patterns, and a decision process that can be examined—not a hidden keyword filter.
Discuss your use case →18universal healthcare AI
risk categories
risk categories
500clinically approved
benchmark cases
benchmark cases
7clear safety
decisions
decisions
1independent safety layer
for every AI model
for every AI model
CONTINUOUS QUALITY MONITORING
CureGate is continuously exercised against fresh, realistic health interactions so its performance stays visible, dependable, and ready for the real world.
FAQ
Questions healthcare AI teams ask first.
Is CureGate another AI model?+
No. CureGate is an independent control layer that sits around the model your product already uses. It evaluates the interaction and returns the safest permitted action.
Which models can it protect?+
CureGate is model-agnostic. A customer can connect the approved model provider used in its health product through the CureGate API.
What happens when risk is detected?+
CureGate can approve, qualify, rewrite, ask for missing information, route for verification, escalate, or reject—according to the assigned policy and risk signals.
Can we begin before changing what users see?+
Yes. Customers can begin in shadow mode, compare what CureGate would have done against live candidate responses, and review the evidence before activating enforcement.
How does CureGate handle conversation context?+
The API can include relevant prior messages and clinical context. CureGate evaluates the current interaction in that context rather than treating a short reply in isolation.
Can an organization write its own safety policy?+
CureGate provides reviewed policy postures that organizations select for each application and audience. This preserves consistent, auditable safety governance.
WHO IT SERVES
For organizations bringing health AI into the real world.
Hospitals & health systems
Govern patient and clinician AI across care pathways.
Health plans & HMOs
Operate member-facing AI under consistent safety controls.
Digital-health companies
Add an independent safety layer before scaling health AI.
Health-AI vendors
Offer enterprise customers policy-led, auditable safeguards.
ABOUT CURECHAT
Infrastructure for
responsible health AI.
CureChat Ltd. is a health-AI company developing independent infrastructure that helps organizations put meaningful control around AI interactions in healthcare.
Its flagship platform, CureGate, gives organizations a model-agnostic way to apply policy, evaluate risk, and make each AI interaction auditable and governable.
FOUNDER & CEODr. Shimon ZilbershlagLeading CureChat’s mission to make health AI more trustworthy in the real world.
START A CONVERSATION
Bring your health AI.
We’ll help make it safer.
Tell us what you are building or operating. We will arrange a CureGate briefing focused on your organization’s AI use case.
+ Please do not include patient names, medical records, or other identifiable health information.