Catch Fatal Clinical Failures in Your AI Before Regulators and Clinicians Do.
We run adversarial stress-tests on healthcare LLMs and clinical AI tools — hallucinated drug interactions, lethal dosing drifts, missed adverse drug reaction (ADR) signals, unsafe triage logic, diagnostic blind spots. Before launch, and continuously after: fresh edge cases and re-testing whenever your model, prompts, or patient mix change.
Model Output
For adult acute migraine with fever: Administer Acetaminophen 1000 mg every 2 hours as needed. Safe to combine with current OTC cold formulations.
Physician Audit Finding
CRITICALCritical Safety Violation
Dosing interval exceeds maximum daily threshold (hepatotoxicity risk); fails to check for cumulative acetaminophen in OTC preparations.
The Problem
Why generalist QA fails clinical AI
Generic QA Misses Fatal Edge Cases
Engineering benchmarks test syntax and basic accuracy. They fail to stress-test complex pharmacokinetics, multi-step clinical reasoning, and contraindications.
Regulatory & Legal Liability
Global regulatory bodies (FDA, EMA, EU AI Act) require verifiable safety evidence. A single unchecked dosing hallucination creates existential liability.
Hospital Procurement Roadblocks
Health systems and pharma enterprise buyers demand documented clinical proof before signing contracts. Slide-deck accuracy claims no longer pass diligence.
Methodology
The 5-Step Audit Framework
Step 01
Scoping & Threat Modeling
Mapping your clinical use case, target patient population, and potential failure modes.
Step 02
Adversarial Scenario Design
Deploying 100 to 400+ multi-turn clinical test cases designed to provoke hallucinations, off-label drifts, and flawed medical logic.
Step 03
Severity-Ranked Clinical Vulnerability Report
Categorizing every failure with clinical justifications, literature citations, and engineering remediation steps.
Step 04
Re-Test & Verification
Validating your guardrail fixes and providing clean documentation for enterprise buyers and compliance teams.
Step 05
Post-Launch Monitoring & Regression Testing
Continuous re-testing on model updates, prompt changes and live clinical traffic to catch drift and new failure modes after go-live.
Led by Clinical Expertise
Dr. Jignesh Hadiya, MBBS
Clinical AI Validation Specialist
Every finding is reviewed by a physician — not a crowd of annotators — with the rigor of a pharmacovigilance case assessment.
700+
Adversarial scenarios designed
1,000+
LLM outputs evaluated
Clinical Background
MBBS physician with real-world clinical and emergency medicine experience.
Pharmacovigilance Rigor
Extensive experience in pharmacovigilance, ICSR review, causality assessment, and regulatory standards (FDA, EMA, ICH).
AI Red-Teaming Experience
Designed 700+ adversarial clinical stress-test scenarios and evaluated 1,000+ LLM outputs across frontier healthcare AI initiatives.
Ethical & Unbiased
Independent third-party evaluation.
Packages & Pricing
Transparent B2B pricing
Clinical Vulnerability Assessment
$2,500 one-time
- 150 adversarial clinical scenarios
- Focus on dosing, drug-drug interactions, and common edge cases
- Severity-ranked audit ledger (Critical, Major, Minor)
- 45-minute findings & mitigation debrief
- Delivery: 7–10 business days
Comprehensive Pre-Launch Safety Audit
$6,500 one-time
- 400+ multi-turn stress-test scenarios
- Deep-dive into hallucination risks, off-label drift, contraindications, and ADR detection
- Full Clinical Governance & Audit Ledger ready for enterprise diligence
- Detailed engineering remediation recommendations
- Includes 1 round of re-testing after fixes
- 90-minute executive & technical debrief
- Delivery: 2–3 weeks
Ongoing Safety & Evaluation Retainer
$4,000 / month
- Continuous regression testing on new model updates and system prompts
- Monthly batch of 100+ fresh edge cases to prevent model drift
- Priority advisory on clinical AI safety and governance documentation
- Dedicated Slack/email access for product and ML teams
FAQ
Frequently asked questions
Don't Let Your Users Uncover Your Model's Blind Spots.
Schedule a confidential 30-minute scoping call to review your clinical AI roadmap.
Book Scoping Call