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AIONsystem
AI Certainty Engineering
AI Reliability Architect

Sheldon K.Salmon

AI Reliability Architect · AGI Systems Designer · Founder, AionSystem

When your AI system is wrong — who finds out?

Building the infrastructure that makes AI systems provably trustworthy — failure documentation, epistemic verification, sovereign audit trails.

View Grant Portfolio → Services & Consulting →

📋 RECENT GRANT SUBMISSIONS (April 2026)

→ Full submission portfolio
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What I Build

Simulation
Creation
Physics simulators, engineering tools, educational systems — built in days, not months. Citation-backed, red-teamed, with full audit trails.
View Simulators →
AI Reliability
Audit
Formal verification that AI deployments capture failures immutably and maintain honest epistemic records. STP FROZEN-2.0 compliant.
AI Audit Services →
Framework
Design
Custom certainty frameworks for your AI system's failure modes. Built on the AION Constitutional Stack.
Framework Engineering →
● Live
Roller Coaster Physics
AP curriculum · 10 modules · 3 red team passes
Launch →
● Live
Project ORION (UXO)
UNDP · Tri-axis gradiometer · Field-tested
Launch →
● Live
Math Worksheet Builder
Grades 3–8 · 9 problem types · Evidence-based
Launch →
● Live
VERITAS (Damage Cert)
UNDP submission · DCI scoring · STP seals
Launch →
🧪 NOAA LOI
VERITAS‑SHELLFISH
HAB toxin detection · CERTUS confidence · STP sealing
Launch →
All Simulators →
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AION Certainty Stack

FrameworkVersionFunctionConvergence
FSVEv3.66‑dimension certainty scoringM-MODERATE
LAVv1.5Linguistic anchor validation (45 anchors)M-STRONG
STPv2.0SHA-256 bound audit trail (PyPI)LIVE
VERITASv1.0Damage certification engineLIVE
EIGHT LAWSv1.0Constitutional sovereignty stackCONSTITUTIONAL
Full stack documentation →
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Connect

Contact
aionsystem@outlook.com
GitHub
github.com/AionSystem
LinkedIn
Sheldon K. Salmon
ORCID
0009-0005-8057-5115