MedNexLabs LLC · AI Accountability Platform

AI that acts.
Proof it can
be trusted.

VARR delivers verifiable, tamper-evident audit trails for every AI agent decision in regulated healthcare — in a format regulators accept.

VMARAS patent pending · Architecture available under NDA
Audit Record · VARRVerified
Agentrecall-orchestrator-01
ActionFLAG_BATCH #RX-2024-881
Timestamp2025-03-14 09:22 UTC
Approved byCompliance Officer
Chain hashsha256:a3f9c8b2…
Chain integrity verified
PHI fields redacted
Regulatory export ready
88%
of enterprises use AI in at least one business function
11%
have agentic AI actually running in production
0
production-ready audit standards for multi-agent AI
9
healthcare market segments served by VARR
⚠️
The Problem
Why regulated AI needs verifiable accountability
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VARR Platform
Features, architecture & tech stack
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Live Demo
Watch a recall event processed end-to-end
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Markets
9 healthcare segments we serve
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Contact
Request briefing, NDA or pilot
The Problem

Agentic AI is already in your workflows.
Can you prove what it did?

When an AI agent makes a decision that affects a patient, a drug recall, or a clinical workflow — compliance teams need to know what it decided, why, and who approved it. Most organizations cannot answer that question.

FDA enforcement actions, HIPAA audits, and NIST AI RMF assessments are increasingly requiring agentic AI systems to produce structured, verifiable documentation of every consequential decision. Today's AI tools produce none of that — by default. VARR closes that gap.

88%
of enterprises now use AI in at least one business function — including regulated healthcare workflows
11%
have agentic AI systems actually running in production environments today
0
production-ready audit standards exist for multi-agent AI decisions in regulated healthcare
FDA 21 CFR §11
Electronic Records & SignaturesAudit trails, access controls, and e-signatures on AI decision events
HIPAA
PHI Handling & Audit ControlsBuilt-in PHI redaction and Security Rule §164.312(b) compliance
NIST AI RMF
AI Risk ManagementGOVERN, MAP, MEASURE, MANAGE function documentation support
EPCIS 2.0
Supply Chain TraceabilityPharmaceutical track-and-trace for DSCSA compliance and lot-level recall
USP <800>
Hazardous Drug HandlingAI decision chains for hazardous drug compounding and recall workflows
FedRAMP
Federal Cloud SecurityArchitecture aligned for VA, DoD, and IHS federal deployments
VARR Platform

Verifiable Agentic Recall Response

"The AI decided" is not an acceptable audit response. VARR automates recall-to-quarantine with cryptographically verifiable, tamper-evident proof at every step.

CAPABILITY 01
Tamper-Evident Decision Records
Every AI agent action captured in a cryptographically linked audit chain — verifiable, timestamped, tamper-evident by design. Any modification is immediately detectable.
Full technical detail →
CAPABILITY 02
Human-in-the-Loop Enforcement
Configurable approval gates that pause agent workflows at defined risk thresholds. Every human authorization event is documented and cryptographically bound to the chain.
Full technical detail →
CAPABILITY 03
Regulatory-Ready Output
Audit artifacts structured for FDA, HIPAA, and NIST AI RMF review. JSON, EPCIS 2.0, FHIR R4, and human-readable PDF — readable by inspectors directly without technical translation.
Full technical detail →
CAPABILITY 04
Zero-Trust Architecture
PHI redaction, pluggable audit backends, air-gap compatible deployment. AES-256 encryption, RBAC enforcement, on-premise / private cloud / hybrid options.
Full technical detail →
Technology Stack
Python / FastAPILangChain / AutoGenPostgreSQL Hyperledger FabricFHIR R4 / HL7EPCIS 2.0FDA MedWatch API AES-256SHA-256 HashingJWT AuthRBACAir-Gap Compatible
IP Notice

The underlying architecture — VMARAS (Verifiable Multi-Agent Recall Automation System) — is the subject of a U.S. provisional patent filed February 10, 2026, assigned to HealthNex IP Holdings LLC. Full technical specifications available under NDA to qualified partners.

Interactive Demo

VARR Recall Automation — Live Walkthrough

Class II FDA drug recall processed end-to-end: alert ingestion → AI classification → PHI redaction → compliance gate → quarantine → blockchain audit seal.

Drug: Metoprolol Succinate ER
Lot: RX-2024-881-A
Class: II · Sub-potent tablet
Scope: 3 facility locations
VARR Orchestration Engine Awaiting simulation
VARR v1.0 · MedNexLabs LLC · Patent Pending
── Press "Run Simulation" to begin ──
 
Audit Chain Status
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Block 001 Ingest
···
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Block 002 AI Class.
···
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Block 003 PHI Redact
···
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Block 004 Human Auth
···
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Block 005 Quarantine
···
⛓️
Block 006 Audit Seal
···
✓ VARR Compliance Certificate Generated
Record sealed on-chain · Available for regulatory export
Recall EventFDA-2024-D-0881
ProductMetoprolol Succinate ER · Lot RX-2024-881-A
Quarantined147 units · 3 locations
Duration4m 22s end-to-end
Authorized byChief Compliance Officer
Root Hashsha256:7f3a9c2b8e1d4f06…
ExportsFDA 21 CFR §11 · HIPAA · EPCIS 2.0
Who We Serve

Built for the full healthcare & pharmaceutical ecosystem

Click any segment to explore use cases, compliance requirements, and integration points.

Hospitals & Health Systems
Clinical decision support, care coordination, and recall response across integrated delivery networks.
View use cases →
Retail & Specialty Pharmacies
Automated dispensing, recall notification, and patient safety workflow audit trails.
View use cases →
Pharmaceutical Manufacturers
FDA 21 CFR Part 11 compliant records for batch release, labeling, and recall management.
View use cases →
Distributors & Wholesalers
Traceable AI decision records across the supply chain from receipt to dispensing.
View use cases →
Long-Term Care & Nursing
Medication management, incident reporting, and resident safety protocol AI accountability.
View use cases →
Compounding Pharmacies
AI decision chains for 503A & 503B compounding workflows and USP <800> compliance.
View use cases →
PBMs & Managed Care
Auditable prior authorization, formulary management, and utilization review AI records.
View use cases →
CROs & Clinical Trial Sites
21 CFR Part 11 audit trails for AI-assisted protocol deviation and adverse event reporting.
View use cases →
Government & Military Health
FedRAMP-aligned AI accountability for VA, DoD, and IHS federal health programs.
View use cases →
Contact MedNexLabs

Ready to close your AI accountability gap?

Pilot partners and enterprise licensees being onboarded now. Technical documentation under NDA.

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Direct Contact
📧
Emailqscott@hotmail.com
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Address2012 Highland Drive, Hobbs NM 88240
⏱
Response TimeWithin 1 business day
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IP StatusVMARAS Patent Pending · NDA Available
Request Types
📋 NDA Briefing
Full technical architecture and VMARAS patent spec for qualified partners.
🧪 Pilot Partnership
90-day structured pilot with integration support and enterprise licensing pathway.
💼 Enterprise License
Full platform licensing, custom deployment, and compliance engineering support.
📈 Investor Inquiry
Deck and financials available under NDA.
Corporate Structure
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MedNexLabs LLCOperating company — VARR platform
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HealthNex IP Holdings LLCIP HoldCo — VMARAS patent assignee
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HealthNexVentures LLCParent holding company