Turn your factory into an intelligent, self-optimizing operation. Real-time production tracking, AI-driven scheduling, predictive maintenance, and end-to-end visibility — from shop floor to boardroom.
From disconnected shop floors to fully intelligent operations — iFactory digitizes, connects, analyzes, and optimizes your entire manufacturing ecosystem.
Connect machines via IoT sensors, OPC-UA, MQTT. Digitize paper-based processes into real-time workflows.
Real-time dashboards for OEE, throughput, quality, and machine status — from shop floor to boardroom.
AI predicts failures, auto-schedules production, detects quality defects, and optimizes energy usage.
Continuous improvement via AI insights. Scale across lines, plants, and geographies with one platform.
See every machine, every line, every metric — in real time. Auto-calculated OEE with availability, performance, and quality breakdowns that update every second.
Availability × Performance × Quality — auto-calculated.
Shop floor displays with real-time status and alerts.
Auto-capture stop reasons with Pareto analysis.
OPC-UA, MQTT, Modbus — connect old and new machines.
Availability
↑ 6%Performance
↑ 4%Quality
↑ 1.2%OEE Trend — This Week
AI-driven APS that optimizes production sequences, minimizes changeovers, and auto-reschedules when disruptions hit — solving in seconds what takes hours manually.
ML algorithms optimize sequencing and changeovers.
Auto-adjusts when machines go down or orders change.
Finite capacity across machines, labor, and materials.
AI groups similar products to minimize setup time.
Today's Schedule — Line A
AI vision inspection, SPC charts, automated CAPA workflows, and real-time quality alerts. Catch defects at the source — not at the end of the line.
Sub-mm defect detection at production speed.
Control charts with auto-alerts on process drift.
Auto-trigger corrective actions on quality failures.
Lot, batch, serial — trace any unit to its source.
Recent Detections
IoT sensors feed real-time vibration, temperature, and acoustic data into AI models that predict failures weeks in advance — auto-generating work orders in the built-in CMMS.
Real-time health scores for every critical asset.
CMMS auto-generates WOs from AI predictions.
Vibration, thermal, acoustic, current — any sensor.
Time, meter, or condition-based — aligned to production.
Equipment Health Status
Create a virtual replica of your entire factory. Simulate production scenarios, optimize layouts, test new products, and train AI — all without risking a single unit of real output.
1:1 digital twin of machines, lines, and layouts.
Simulate demand spikes, failures, and new products.
Virtual testing eliminates 3–6 months of prototyping.
Twin updates in real time from IoT sensor feeds.
Active Simulations
AI-optimized inventory with demand forecasting, auto-reorder triggers, supplier management, and real-time material tracking — from raw materials to finished goods.
ML predicts demand to optimize stock levels.
POs triggered when stock hits AI-set reorder points.
Lead times, on-time rates, and quality scores.
Track any material from supplier to finished product.
Stock Alerts
Monitor energy consumption per machine, line, and product. Track carbon emissions, optimize usage during off-peak hours, and generate ESG compliance reports automatically.
Real-time kWh per machine, line, and product unit.
Scope 1 & 2 emissions tracking per product.
Auto-generated sustainability compliance reports.
AI shifts heavy loads to lower-cost energy windows.
kWh Saved
vs BaselinetCO2e/$1M
↓ 35%Saved/Mo
Off-peak AIEnergy by Line — Today
Every module works together seamlessly — creating a single source of truth for your entire manufacturing operation.
Real-time monitoring
Intelligent APS planning
AI vision inspection
AI failure forecasting
Work order management
AI demand forecasting
Factory simulation
Carbon & cost tracking
Pre-built industry templates, regulatory modules, and AI models for diverse manufacturing verticals.
IATF 16949, EV assembly
FDA 21 CFR Part 11, GxP
HACCP/FSMA, sanitation
Cleanroom, SMT line
Furnace, rolling mill
Kiln, crusher tracking
Critical infrastructure
Reactor, hazardous area
"Unplanned downtime dropped from 15% to under 2% within the first year. OEE jumped to 87% across all lines."
— John Davis, Maintenance Director
"AI scheduling reduced changeover times by 40%. Quality compliance became effortless with automated SPC and CAPA."
— Sarah Miller, Operations Manager
"Digital twin simulations saved us 4 months on a new line launch. Energy monitoring cut our power bill by 22%."
— Mike Thompson, Plant Manager
Facilities Worldwide
Countries
Avg Downtime Reduction
Avg Annual Savings
A smart factory integrates IoT sensors, AI analytics, and automation into one connected ecosystem that continuously monitors, predicts, and optimizes itself. iFactory provides the complete software layer — OEE tracking, AI scheduling, predictive maintenance, quality management, digital twins, and energy monitoring — connecting your existing machines and systems into a unified platform.
Facilities typically achieve 200–400% ROI within 12–18 months. Key improvements include 45% reduction in unplanned downtime, 35% throughput increase, 30% lower maintenance costs, and $150K average annual savings per facility. Energy monitoring alone typically saves 15–22% on power costs.
Yes. 50+ pre-built connectors for SAP, Oracle, Microsoft Dynamics via REST APIs. Shop floor connectivity via OPC-UA, Modbus, MQTT, Ethernet/IP, and PROFINET — meaning both new CNC machines and 20-year-old legacy equipment connect seamlessly. Most integrations complete in 2–4 weeks.
Standard cloud deployment takes 2–4 weeks for a single facility with core modules (OEE, CMMS, scheduling). Full enterprise rollout with digital twins, AI quality, and energy monitoring across multiple sites completes in 60–90 days. Edge AI quality control and dashboards deploy in as little as 90 days with 200%+ ROI.
MES (Manufacturing Execution System) drives real-time shop floor execution — production tracking, scheduling, and quality. CMMS manages maintenance — work orders, PM scheduling, and asset tracking. ERP handles enterprise planning — financials, procurement, and HR. iFactory combines MES + CMMS capabilities and integrates with your existing ERP for a complete stack.
AI powers five key areas: predictive maintenance (forecasts failures 4–6 weeks ahead), production scheduling (optimizes sequences in seconds vs hours), quality inspection (sub-mm defect detection via computer vision), demand forecasting (optimizes inventory levels), and energy optimization (shifts loads to off-peak windows). According to Deloitte, 92% of manufacturers now view AI-driven smart manufacturing as the primary driver of competitiveness.
Built-in compliance for FDA 21 CFR Part 11, IATF 16949, HACCP/FSMA, AS9100, ISO 9001/14001, ISO 55000, OSHA, and ESG reporting frameworks. All documentation is auto-generated with tamper-proof audit trails and digital signatures.
Absolutely. Most manufacturers start with one high-impact module — typically OEE monitoring or CMMS — on a single line, then expand. The modular architecture lets you add AI scheduling, quality, digital twins, and energy monitoring as needed. Cloud-native deployment means no upfront hardware investment, and the platform scales from 1 line to 500+ facilities.
Join 500+ facilities leveraging iFactory AI manufacturing solutions. Schedule a free 30-minute demo — we'll walk through your industry scenarios and provide a preliminary ROI projection.