NVIDIA-Powered analytics Management for Power Plants

Your DCS threshold alarms react to failures — they cannot catch a 0.04mm bearing wear signature or a 1.2°C exhaust spread deviation until it is already too late. iFactory's NVIDIA-powered AI platform monitors 3,000+ parameters per second on servers inside your facility, detecting failure signatures 72+ hours before a forced trip with zero cloud dependency and zero modification to your existing control architecture. Book a free plant assessment.

Quick Answer

iFactory runs all AI inference on NVIDIA DGX and EGX edge servers inside your Electronic Security Perimeter — delivering GPU-accelerated predictive maintenance, heat rate optimisation, vision inspection, and digital twin simulation with zero cloud dependency, zero data egress, and zero DCS modification.

How iFactory Solves the Problems Your DCS Cannot

Every major power generation failure mode has a detectable precursor — vibration signature, temperature deviation, combustion dynamic shift. iFactory's NVIDIA-powered AI finds it 72+ hours before a forced trip. Your threshold alarms never will. Book a demo to see each capability applied to your asset mix.

Predictive Maintenance AI

45%Fewer Forced Outages

$4.8M avoided per 500MW unit annually

Heat Rate Optimisation

5–8%Heat Rate Improvement

$1M–$3M fuel savings per unit per year

AI Vision Inspection

70%Faster Inspections

$200K+ scaffolding eliminated per cycle

Digital Twin Simulation

30%Less Outage Overrun

Shutdown sequences tested virtually before execution

NERC CIP Compliance

2 hrsAudit Prep Time

Down from 14 days — $1M+ in penalties avoided

Emissions & ESG Reporting

15%Insurance Reduction

NOx, SOx, CO₂ monitored and reported automatically

Every Problem Above Is Solved — On Your Infrastructure, Not the Cloud.

iFactory connects to your existing DCS and historian in read-only mode. No control system changes. No cloud dependency. First predictive alert within 45 days.

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Deployment Roadmap — DCS Connection to Full AI in 8 Weeks

Zero generation impact at every stage. Validated milestone before each phase proceeds. Book a demo for your plant-specific plan.

Week 1–2

Infrastructure Assessment & NERC CIP Mapping

NVIDIA DGX and EGX locations confirmed within your Electronic Security Perimeter. No firewall changes to production networks.

Deliverable — Server plan, NERC CIP perimeter docs, network isolation signed off

Week 3–4

NVIDIA Commissioning & DCS Read Integration

DGX and EGX deployed. DCS and SCADA feeds connected read-only via OPC-UA or Modbus. PI Historian sync active.

Deliverable — Hardware live, DCS read-only confirmed, historian sync active

Week 5–6

AI Model Calibration Against Your Failure History

GPU training against 18–36 months of historian data. Models calibrated per asset — turbine, HRSG, generator, and BOP.

Deliverable — Calibrated AI models per asset, heat rate baseline confirmed

Week 7–8

Go-Live Milestone

First Live Alerts — AI Operational, Work Orders Firing

Predictive alerts activate. Condition-based work orders auto-generate. NERC CIP audit trail live. Digital twin active.

Deliverable — Live alerts, first work orders approved, NERC audit trail active

Our Numbers — Measured Over 12 Months Across Plants Running iFactory

Production outcomes from plants that completed a minimum 12-month operational period on the full iFactory NVIDIA-powered platform.

45%

Fewer Forced Outages

93%

Failure Prediction Accuracy at 72 hrs

$6M+

Annual Value per 500MW Plant

6–8 wks

To First Live Predictive Alert

<10ms

End-to-End AI Inference Latency

$200K+

Scaffolding Eliminated per Inspection Cycle

100%

NERC CIP Compliance Rate

Zero

Cloud Dependency or Data Egress

iFactory vs Competitor Platforms

GE Vernova APM, IBM Maximo, C3.ai, and SparkCognition each solve part of the problem. None delivers GPU-accelerated AI, vision inspection, on-premise NERC CIP compliance, and DCS integration in a single deployable system. Book a demo to see iFactory mapped against your current platform.

Capability	iFactory	GE Vernova APM	IBM Maximo	C3.ai	SparkCognition
Infrastructure & Security
On-premise NVIDIA edge	Full — native	Cloud primary	On-prem available	Cloud only	Edge add-on
Air-gap / zero internet	Full air-gap	Not available	Requires config	Not available	Limited
AI inference latency	<10ms	100ms–1s	Batch only	200ms–2s	Near real-time
AI & Predictive Capability
72+ hour failure prediction	93% accuracy	GE turbines only	Add-on required	Generic models	SparkPredict module
AI vision inspection	99%+ accuracy	Not available	Not available	Not available	Limited
Heat rate optimisation	5–8% improvement	GE turbines only	Not available	Not available	Not available
Digital twin simulation	GPU-accelerated	GE assets only	Not available	Not available	Not available
Compliance & Deployment
NERC CIP native	CIP-005 to CIP-013	Customer-managed	Customer-managed	Not supported	Limited support
Deployment timeline	6–8 weeks	12–18 months	12–24 months	6–12 months	6–12 months
Pricing structure	Fixed — per plant	Enterprise quote	Enterprise quote	Enterprise quote	Enterprise quote

Based on publicly available product documentation as of Q1 2025. Verify current capabilities with each vendor before procurement.

Regional Compliance — On-Premise Architecture Satisfies Every Major Framework

Cloud-based AI platforms create data egress problems that require months of compliance work. iFactory's on-premise NVIDIA architecture satisfies NERC CIP, GDPR, SOCI, BSI, and NCA requirements by design — because your data never leaves your facility. Book a demo to see compliance docs configured for your region.

Region	Key Frameworks	How iFactory Solves It
USA & Canada	NERC CIP-005–013, FERC, NIST 800-82, CISA	All AI runs inside your Electronic Security Perimeter on NVIDIA servers. CIP-005 through CIP-013 satisfied by architecture. Full air-gap available for high-impact BES facilities.
UK & EU	EU NIS2, IEC 62443, GDPR, UK Grid Code, EU ETS	IEC 62443 security zones enforced at NVIDIA edge level. GDPR satisfied — all data processed on-premise. NIS2 OT segmentation maintained by perimeter architecture.
Australia	AEMO NEM, SOCI Act 2018, ASD Essential Eight	SOCI critical infrastructure obligations met by on-premise deployment. ASD Essential Eight controls applied at NVIDIA server level. All data remains onshore.
Germany	BSI IT-Grundschutz, KRITIS, EU NIS2, BDSG	KRITIS obligations met without cloud data transfer. BDSG data protection satisfied — all processing remains within your operational environment.
Saudi Arabia	NCA ECC-1, IEC 62443, CITC, Saudi Aramco	NCA ECC-1 and CITC data localisation met by on-premise NVIDIA architecture. Arabic platform outputs supported.

Compliant by Architecture — Not by Configuration Workaround.

Cloud platforms require months of middleware and compliance documentation to approximate what iFactory delivers from day one — because your data never leaves your perimeter.

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What Our Clients Say

"We had GE APM for condition monitoring and Maximo for work orders. Neither talked to our DCS without a middleware project, and neither predicted anything — they reported on what already happened. iFactory deployed on NVIDIA DGX inside our perimeter in under eight weeks. The first bearing failure it caught on Unit 3 would have been a $2.1M forced outage. We caught it 84 hours early. That one event paid for three years of the platform."

Director of Asset Reliability

1,200MW Coal-Fired Power Station — US Midwest

Frequently Asked Questions

QWhy NVIDIA — can iFactory run on standard server hardware?

Multi-sensor AI, vision inference, and digital twin simulation require GPU parallelism. CPU servers cannot process 3,000+ parameters per second in real time and introduce latency that eliminates the early-warning advantage entirely. Book a technical review.

QHow does iFactory satisfy NERC CIP inside the perimeter?

Servers deploy within your Electronic Security Perimeter as EACMS assets. Read-only DCS integration, AES-256, TLS 1.3, and immutable audit logging satisfy CIP-005 through CIP-013 by architecture — no customer configuration required. Book a NERC CIP review.

QDoes iFactory affect generation during deployment?

No. DCS integration is strictly read-only — iFactory never writes to control systems. Edge servers install in under four hours per location. Zero generation impact at every phase of the 8-week deployment.

QWhat happens if the NVIDIA server goes offline?

EGX edge nodes operate autonomously during DGX disruption, continuing local inference per connected asset. Redundant power and RAID storage mean recovery is under 4 hours. 90-day on-site support is included post-deployment.