The shift was invisible — until the quarterly P&L review. One plant had cut unplanned downtime by 43% in 90 days. Another had eliminated 700+ hours of manual data reconciliation per year. Their common thread? They stopped treating manufacturing data as a byproduct and started using it as a operating system. The difference wasn't new sensors or bigger IT budgets — it was a manufacturing intelligence platform that finally worked the way the plant did.
Turn plant-floor data into decisions that cut downtime 40% and eliminate manual reporting in one quarter
iFactory is the on-premise AI platform that connects every data source on your factory floor — PLCs, historians, MES, CMMS — and delivers a working pilot with measurable ROI in 6–12 weeks. No cloud, no data leaving your network, no rip-and-replace.
Four numbers that change how you run the plant
These are not projections. They are measured results from discrete and process manufacturers running iFactory on their plant networks today.
Capabilities that turn raw data into operational leverage
iFactory ingests data from every source on your plant floor, applies AI models trained on manufacturing operations, and surfaces actionable intelligence through interfaces your team already knows how to use.
Real-Time OEE & Throughput
iFactory calculates OEE, availability, performance, and quality automatically from PLC and historian data. No manual stopwatch studies. No end-of-shift spreadsheets. Every line, every shift, every SKU — updated every second.
Anomaly Detection & Root Cause
When a line slows or a quality parameter drifts, iFactory identifies the exact sensor, time, and process condition that triggered the event. Operators get a root-cause alert in seconds, not after the shift review.
Shift Summary Automation
iFactory generates a complete shift report — production counts, downtime events, quality rejects, and operator notes — from live data. No one types a shift log. No one reconciles numbers at month-end.
Predictive Alerts for Equipment Health
iFactory models normal operating conditions for each machine and alerts maintenance when vibration, temperature, or current draw deviates. You fix the bearing before it seizes, not after.
Cross-Plant Benchmarking
Run the same line in three plants? iFactory normalizes data across sites and shows you which shift, which operator, and which process settings deliver the highest OEE. Best practices become standard practice.
Turnkey Integration, No IT Project
iFactory runs on an NVIDIA appliance on your plant network. No cloud. No data egress. No custom API development. Your controls engineer points to the data sources, and iFactory does the rest.
Why the status quo is more expensive than you think
Most plants run on data that is hours or days old. The gap between what happened and when you know about it costs real money — every shift, every day.
Downtime discovered after the fact
A line stops at 2:17 AM. The operator resets it. No one knows until the morning production meeting. That 47-minute gap between event and awareness repeats 200 times a year — 150+ hours of unrecoverable production time.
Manual data reconciliation consumes engineering hours
Every shift, someone copies PLC totals into Excel, checks CMMS records for downtime codes, and reconciles the two. That is 1.5 hours per shift, per line. For a plant with 8 lines, that is 4,380 hours a year of non-value-added work.
Continuous improvement stalls without real data
Lean projects, Kaizen events, and Six Sigma initiatives all depend on accurate baseline data. When that data is manual, lagging, or inconsistent, improvement efforts fail. The plant stays flat.
Most plants have the data they need to improve OEE by 15–25%. They just can't get to it. Book a 30-min walkthrough and we'll show you a live system pulling data from a real plant floor.
Four steps from data sources to operational intelligence
Every deployment follows the same proven path. No custom development. No multi-year rollout. Just a structured process that starts delivering value in weeks.
Connect
iFactory connects to your existing data sources — PLCs, historians, MES, CMMS, SCADA — over the plant network. No new sensors, no IT approvals for cloud access, no data leaving the facility.
Model
iFactory's AI automatically discovers data schemas, identifies time-series patterns, and builds a digital model of your production process. This happens in days, not months.
Operate
Operators and engineers see real-time OEE, anomaly alerts, and shift summaries on dashboards that match their workflow. No training required. No new software to learn.
Improve
With accurate, live data, your continuous improvement team identifies the highest-impact opportunities. iFactory tracks the results of every change so you know what works.
Four promises that make this different from every other platform
Manufacturing intelligence has been promised for years. iFactory delivers because it was built for the realities of plant operations, not the cloud.
End-to-end turnkey delivery
You hand over data-source access. iFactory delivers a working pilot with validated ROI in 6–12 weeks. No scope creep, no hidden integration costs.
On-premise, zero cloud dependency
iFactory runs on an NVIDIA appliance inside your plant network. No data egress, no cloud subscription, no cybersecurity review for external data transfer.
Pilot to ROI in one quarter
We target measurable savings — reduced downtime, eliminated manual reporting — within the first 90 days. If it doesn't deliver, you haven't lost a year of your time.
Managed service, no new headcount
iFactory includes 24x7 monitoring, model updates, and application support. Your team stays focused on running the plant, not maintaining software.
Straight answers about manufacturing intelligence
Your plant already has the data. iFactory turns it into decisions.
Book a 30-minute demo. We will connect to a live iFactory system showing real plant data, real OEE numbers, and real anomaly alerts. You will see what your plant can do with the data it already has.
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