The afternoon shift supervisor at a midwestern automotive stamping plant watches her OEE dashboard flicker from 78% to 62% in under an hour. A downstream press jammed, a coolant pump drifted 4% below setpoint, and a vision system flagged three defective panels — all within the same 20-minute window. The maintenance team is spread across four lines, and the root cause of the OEE drop won't surface until tomorrow's shift-change meeting. Scenarios like this play out thousands of times per day across discrete and process manufacturing: the data exists, but it lives in silos — PLCs, CMMS systems, ERP, vision inspectors, and operator logbooks — with no single pane that connects the dots in real time.
One platform that sees, connects, and acts across every layer of production
iFactory ingests data from any source — PLCs, SCADA, CMMS, ERP, vision systems, sensors, and operator inputs — and delivers a unified operational intelligence layer on your plant floor. No cloud, no migration, no months of integration.
iFactory is not another dashboard bolted on top of your existing stack. It is an AI-native manufacturing intelligence platform that absorbs the operational role of legacy plant systems — connecting real-time machine data, quality metrics, maintenance records, and production scheduling into a single, actionable view. Because the platform runs entirely on an NVIDIA appliance inside your plant network, there is no latency, no cloud dependency, and no data leaving your floor. Your team gets a complete picture of what is happening, why it is happening, and what to do about it — in minutes, not days.
Six core capabilities that cover every production use case
iFactory ships with a full suite of pre-built modules. Each one addresses a specific operational need, and they all share the same data model — so insights from one capability feed directly into others.
Live machine & line visibility
Ingest data from any PLC, SCADA, or sensor at sub-second intervals. See OEE, throughput, cycle time, and downtime across every asset — all on a single pane. Alerts trigger automatically when any parameter drifts outside control limits.
Failure prediction & root cause
Machine learning models trained on your historical data predict equipment failures 4–8 hours before they occur. The platform correlates vibration, temperature, current draw, and cycle time patterns to pinpoint the exact component at risk.
In-line defect detection & traceability
Connect vision systems, CMM measurements, and manual inspection stations into a unified quality feed. Flag non-conformances in real time, trace root cause back to specific machine parameters, and generate lot-level traceability reports automatically.
CMMS integration & work order automation
Sync with SAP PM, Maximo, or any CMMS. When a predictive alert fires, iFactory creates a work order with the fault code, affected asset, and recommended action — no human intervention required. Maintenance teams work from a single queue.
Power, air, water & gas monitoring
Track energy consumption per unit of production, identify waste patterns, and correlate utility usage with production schedules. iFactory automatically adjusts setpoints on HVAC, compressors, and pumps to reduce cost without affecting throughput.
What-if scenario modeling
Build a real-time digital twin of your production line using live data. Run what-if scenarios — changeover optimization, bottleneck analysis, line balancing — and see the impact on throughput, cost, and quality before making a single change on the floor.
From data source to operational action in four steps
iFactory's architecture is designed for speed of deployment and depth of insight. No lengthy integration projects, no custom code, no data science team required.
Connect
iFactory connects to any data source on your plant network — PLCs, SCADA, CMMS, ERP, vision systems, sensors, and operator HMI — using pre-built connectors. No API development, no middleware.
Ingest & Normalize
The platform ingests data at native frequency and normalizes it into a unified time-series model. All data stays on-premise on the NVIDIA appliance — zero bytes leave your network.
Analyze & Predict
Built-in AI models analyze patterns across every data stream. The platform detects anomalies, predicts failures, identifies root causes, and recommends actions — all in real time.
Act & Automate
iFactory pushes alerts, work orders, and control commands to the systems your team already uses: HMI screens, CMMS, email, SMS, and ERP. No new tools to learn, no extra steps.
What disconnected systems cost your plant every month
When production data lives in silos, every decision carries hidden risk. Here is what fragmentation looks like in real operational terms.
Reactive maintenance premiums
Without predictive signals, plants spend 40–60% of maintenance budgets on emergency repairs. A single unplanned line stop costs $15,000–$50,000 per hour in lost output.
Quality escape & rework
When quality data is disconnected from machine parameters, defect root causes take hours or days to trace. Rework costs average 8–12% of total production value in mixed-model manufacturing.
Energy waste from unoptimized setpoints
Without real-time energy correlation, plants over-pressurize compressed air lines, overcool production spaces, and run pumps at full speed during idle periods. Typical waste: 12–18% of total utility spend.
What iFactory delivers in the first quarter
These are median results across our deployed base of 40+ manufacturing sites. Your numbers will vary based on plant complexity and current state, but the direction is consistent.
Every plant is different — but the pattern is consistent. Book a 30-min walkthrough and we'll show you what your plant's data already says about your next 14% OEE gain.
What operations leaders ask before deploying iFactory
Your plant already generates the data. iFactory makes it tell you what to do.
From OEE improvement to predictive maintenance to energy optimization — one platform, one deployment, one quarter to ROI. See it in action on your own data.
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