Enterprise Whitepaper & Technical Overview
Autonomous SCADA supervisory control and thermodynamic failure prevention for heavy industrial assets.
Total separation of statistical machine learning advisories from physical control loops to prevent un-commanded plant shutdowns.
Split-Tenant Kubernetes-as-a-Service (KaS) powered by Google Kubernetes Engine (GKE) and GDC Bare-Metal Edge Nodes.
Heavy SCADA telemetry ingestion and raw signal processing execute natively on the client’s compute budget using autoscaling Spot node pools (e2-standard-4).
IronMetric Holdings maintains a lean, air-gapped supervisory control plane ($3,000/yr base footprint) hosting proprietary PINN models.
Eliminates vendor infrastructure bloat while delivering a $150,000 ACV value engine centered on mechanical risk mitigation.
Generative Large Language Models (LLMs) are explicitly excluded from physical safety interlocks.
Mathematical surrogate twins solving non-linear partial differential equations for real-time pressure, acoustic, and thermal transient modeling.
Physical Programmable Logic Controllers (PLCs) maintain SIL 3 air-gapped priority over AI advisories, enforced via a 15ms hardware watchdog fallback and dual-lock statistical gating (Pearson Kurtosis K > 5.0).
No public IP addresses are provisioned for industrial telemetry ingress.
All cross-tenant supervisory control signaling transits via an internal PSC bridge (10.128.0.50).
Organizational policies actively intercept and drop unauthorized external API calls, mathematically enforcing zero data exfiltration across regional borders.
FIPS 140-2 Level 3 Hardware Security Modules (HSMs) for all data at rest.
Deployment specs for NEMA 4X 316 Stainless Steel Enclosures (IP66 ingress protection).
Elastomeric vibration dampening tuned to 12 Hz, absorbing 15G peak impact shocks from heavy industrial stamping presses.
Operational integrity maintained under continuous wide-temperature conditions (-40°C to 85°C).