A shift supervisor at a mid-sized automotive parts plant watches the OEE dashboard refresh at 6:47 AM. Line 4 shows 67% — down 18 points from the morning target. She drills in: the stamping press is cycling 3.2 seconds slower per part, the coolant pump bearing temperature has climbed 14°F in two hours, and the upstream conveyor is accumulating because a photo-eye misalignment is triggering false stops. Three separate symptoms, one root cause — but the MES shows them as unrelated events. By the time maintenance pulls the vibration history, the line has lost 47 units and $18,700 in gross margin. This is the cost of fragmented visibility. In a plant running 12 production lines across 3 shifts, with 4,200 data points streaming from PLCs, sensors, and vision systems, no single system today connects the dots from machine health to production throughput to quality yield. That gap — between having data and understanding what it means in time to act — is what iFactory was built to close.
From Edge to Outcome: One Platform That Unifies Machine Health, Production OEE, Quality, and Energy
iFactory ingests every signal from your plant floor — PLC tags, vibration spectra, vision frames, energy meters, and historian logs — and delivers a single pane of actionable intelligence. No cloud. No data leaving the plant. No integration backlog.
Manufacturing operations today run on a patchwork of isolated systems. The PLCs talk to the SCADA. The SCADA feeds the MES. The vibration monitors have their own server. The vision system writes to a separate database. The energy meters log to a third-party portal. Each system produces alerts, but none of them cross-reference. A motor's temperature trend, a cycle-time drift, and a quality reject spike are three separate events until someone manually connects them — usually after the loss has already hit the P&L. iFactory replaces that fragmentation with a single, on-premise platform that absorbs every data source, models the relationships between them, and surfaces only the intelligence that matters: what is breaking, where, why, and what to do about it right now.
Six Domains, One System: The Full Breadth of iFactory
iFactory is not a point solution for one problem. It is a manufacturing intelligence platform that spans the full operational stack — from sensor-level physics to shift-level business metrics. Each capability is delivered as a configurable module, deployed together or phased in over time, all running on the same NVIDIA appliance inside your plant network.
Predictive & Prescriptive Maintenance
Ingests vibration, temperature, current, and acoustic data from up to 500 assets per appliance. Detects bearing degradation, imbalance, misalignment, and lubrication loss 7–14 days before failure. Assigns a Remaining Useful Life (RUL) score and recommends the specific maintenance action — replace bearing, realign shaft, add grease — ranked by urgency and production impact.
Real-Time OEE with Root-Cause Drill-Down
Calculates Availability, Performance, and Quality at every level — machine, line, plant — updated every cycle. When OEE drops, iFactory automatically correlates the change with machine events (alarms, speed changes, maintenance actions), material lots, shift changes, and operator logs. No more chasing phantom causes.
In-Line Vision & Sensor Fusion
Connects to existing vision systems, CMM data, and inline gauges. Fuses dimensional measurements with process parameters (temperature, pressure, speed) to identify the upstream condition that caused a defect. Flags drift before it produces scrap — not after. Typical deployment reduces defect rate by 22% within the first 90 days.
Machine-Level Energy & Carbon Tracking
Pulls data from power meters, VFDs, and utility submeters. Assigns kWh consumption to individual production steps and products. Detects energy waste events — a compressor running idle overnight, a chiller staging up unnecessarily, a motor operating outside its efficiency band — and quantifies the cost in dollars and CO₂ per shift.
Closed-Loop Recipe & Setpoint Advisory
Learns the operating envelope that produces the best quality and throughput for each product SKU. When a parameter drifts — oven temperature, conveyor speed, pressure setpoint — iFactory recommends the correction and, with operator approval, writes the new setpoint back to the PLC. No programming required.
Historian, MES & ERP Connector
Bridges to existing historian databases (OSIsoft PI, Canary, AVEVA), MES layers, and ERP systems. Absorbs the operational workload of legacy plant systems like SAP MII or PCo during migration — no rip-and-replace. iFactory becomes the single source of truth for plant-floor data, feeding dashboards, reports, and analytics without duplicating infrastructure.
From Power-On to Actionable Intelligence in Four Steps
iFactory is deployed as a turnkey appliance on your plant network. No cloud dependency. No data egress. No months-long integration projects. The platform connects, learns, and surfaces insights in weeks — not quarters.
Connect & Ingest
iFactory connects to your existing PLCs, sensors, vision systems, energy meters, and databases over standard industrial protocols (OPC UA, Modbus, MQTT, REST APIs). Data flows directly into the on-premise NVIDIA appliance — zero data leaves the plant.
Model & Contextualize
The platform automatically discovers assets, tags, and relationships. It builds a digital twin of your production line — mapping which sensors belong to which machine, which machines feed which line, and which lines produce which product SKUs. No manual tagging required.
Analyze & Detect
Pre-trained machine learning models run continuously on the edge, detecting anomalies, predicting failures, calculating OEE, and correlating quality defects with upstream process conditions. The system learns normal behavior per asset and flags deviations in real time.
Act & Improve
iFactory surfaces actionable intelligence — alerts, recommendations, setpoint advisories — directly in the operator dashboard, shift report, or maintenance work order system. Over time, the platform refines its models based on outcomes, driving continuous improvement without manual tuning.
Three Problems That One Platform Eliminates
Every disconnected system creates a blind spot. Every blind spot costs money — in lost production, excess scrap, unplanned downtime, and wasted energy. Here are three of the most expensive gaps iFactory closes.
Unplanned Downtime from Unseen Degradation
A bearing degradation that a vibration system detects but never cross-references with the production schedule. The line goes down at peak shift. Average cost per event: $12,000–$47,000 in lost output, depending on line speed and product margin.
Quality Scrap from Uncorrelated Process Drift
A temperature drift of 3°F in an oven that the vision system catches 45 minutes later — 300 parts already bagged for rework or scrap. The root cause was a cooling pump cycling incorrectly, logged only in the historian. No system connected them. Typical scrap cost: 2–5% of revenue.
Energy Waste from Idle but Unmonitored Assets
A 200-HP air compressor running at full load during a lunch break because the energy management system only tracks total plant consumption — not machine-level. iFactory identifies the event, quantifies the waste at $87/hour, and recommends a simple timer interlock.
Measurable Impact Across Every Domain
iFactory deployments consistently deliver measurable improvements across the full set of manufacturing KPIs — not just one. These results come from real pilot projects in automotive, electronics, and metal fabrication plants running on production lines today.
One platform. One appliance. One quarter to measurable ROI. Book a 30-min walkthrough and we'll show you how iFactory connects your data — on your network, with your security requirements.
What You Get When You Choose iFactory
End-to-End Turnkey Deployment
We handle everything from appliance setup to data-source connection to model tuning. You provide access to your PLCs, sensors, and databases; we deliver a working pilot in 6–12 weeks. No internal IT project required.
On-Premise, Zero Cloud Dependency
iFactory runs entirely on an NVIDIA appliance inside your plant network. No data ever leaves your facility. No cloud subscription. No third-party data processing. Full compliance with ITAR, GDPR, and corporate data governance policies.
Pilot-to-ROI in One Quarter
We commit to delivering measurable improvement — OEE gain, defect reduction, or energy savings — within 90 days of deployment. If we don't, we work with you to adjust scope at no additional cost.
24×7 Managed Service & Support
iFactory includes proactive monitoring, model updates, and technical support around the clock. Your operations team never manages the platform — they just use the intelligence it delivers.
Legacy System Migration Ready
When you are migrating off legacy plant systems like SAP MII or PCo, iFactory absorbs the operational workload — data collection, aggregation, and analytics — without a rip-and-replace of existing infrastructure.
Scalable from One Line to an Entire Plant
Start with a single production line or a pilot cell. Add lines, assets, and capabilities as you see results. The same appliance scales to support hundreds of machines and tens of thousands of data points.
What Operations Leaders Ask About iFactory
Stop Managing Fragmented Systems. Start Connecting the Dots.
Your plant generates data every millisecond. iFactory turns it into intelligence — on your network, in weeks, with measurable ROI. Book a 30-minute walkthrough and we'll show you how.
