Team

Service-disabled veteran with over 20 years in operational technology and AI systems. Leads research collaboration, government programs, and enterprise validation partnerships.

Systems architect focused on sovereign compute, offline execution, and architectures validated under sustained fault injection. Led the design of AriaOS Kernel V3, Memory V2, and TaskGraph V2. Published research includes hardware validation on Apple Silicon and HP G8 server platforms.

Joseph C. McGinty Jr. is a service-disabled veteran and systems architect with over 20 years of experience in operational technology, enterprise systems, and AI engineering. AriaOS addresses conditions where cloud-dependent AI fails: denied environments, network degradation, and workflows that require deterministic behavior under stress.

• Service-disabled veteran and founder of ResilientMind AI
• 20+ years in operational technology and AI systems engineering
• Designer of ARIA Kernel V3, Memory V2, and TaskGraph V2
• Author of multiple published works on AI and systems design
• Validated AriaOS on Apple Silicon and HP ProLiant G8 (published artifacts). Additional targets documented under Hardware Validation Targets.
• Service-Disabled Veteran Owned Small Business (SDVOSB) & VOSB: Certified

• Security and compliance advisors for NIST, FedRAMP, and CMMC alignment
• Independent reviewers for architecture and stress testing
• Field partners who provide feedback from real-world deployments

Trust in AriaOS comes from published validation, not team size. Research artifacts are public and verifiable.

• Hardware validation reports (Apple Silicon, HP G8 server platforms)
• Degraded modes matrices for 5 industry domains
• Technical briefs for federal research organizations
• Stress test results across 800+ endpoints

View all research artifacts →

Direct links: Hardware Validation Targets | Apple Silicon | HP G8

• GPU validation lane: GPU-accelerated edge compute and high-performance sustained load targets
• Focus: continuity under stress (power, thermals, comms, governance enforcement)
• Artifacts: traces, recovery timelines, degraded-mode matrices, go or conditional-go gates
• Scope discipline: targets remain targets until results are published as artifacts

ResilientMind AI is the company behind AriaOS. Current work focuses on validating autonomous intelligence infrastructure for environments where failure is not an option.

AriaOS is undergoing validation for autonomous intelligence infrastructure that operates under stress. If you have experience with systems that must work when connectivity, power, and coordination cannot be assumed, we should talk.

We value depth over breadth, execution over credentials, and results over process. If you've built systems that had to work when everything else failed, you understand what we're validating.