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MANUFACTURING · OMNIERAX PLATFORM

The Factory of the Future Isn't a Place. It's an Intelligence Environment.

Omnierax delivers unified operational intelligence across the full manufacturing enterprise — connecting production data, asset health, supply chain operations, quality management, and workforce performance into a single AI-powered intelligence environment that eliminates the gaps between operational systems and closes the distance between data and decision.

Deployed across discrete manufacturing, process manufacturing, automotive, pharmaceutical, and industrial equipment operations.
PLANT 04 · DETROIT · LIVEOEE 87.3% · SHIFT B
ASM-01ASM-02CNC-04ROB-07PRS-02WLD-09QC-01PKG-03
PREDICTIVE MAINTENANCE
CNC-04 · Spindle Bearing
Predicted failure in 72–96 hours
CONF 91%SCHEDULE INTERVENTION →
OEE · LAST 24H
94%
AVAIL
89%
PERF
97%
QUAL
OEE87.3%
SUPPLY CHAIN FLOW
SUP
WHS
MFG
DC
CUST
LEAD 6.2d
FILL 98.1%
RISK LOW
ASSETS · 142 ONLINE · 2 ALERTSUNITS/HR · 1,284QUALITY · 99.6%
THE MANUFACTURING INTELLIGENCE CHALLENGE

Your Factory Generates More Data Than Any Previous Generation of Industry. Most of It Goes Unused.

Modern manufacturing facilities are extraordinarily data-rich environments. CNC machines log thousands of parameters per second. Quality inspection systems generate detailed measurement records for every part. SCADA records every process variable in continuous time series. ERP tracks every material movement, every work order, every labor transaction. MES monitors every production event.

The problem is not a lack of data. It is that this data exists in systems that were designed to manage their specific operational domain — not to produce intelligence across them. The connections that reveal why defects occur, why equipment fails, why delivery performance degrades — are invisible unless you build a system specifically to find them.

Omnierax is that system. It connects the data that already exists in your manufacturing environment, applies AI-driven analytics across the full connected dataset, and surfaces intelligence that was always latent in your operations — but was never visible until now.

DATA SOURCES → UNIFIED INTELLIGENCE
CNC / PLC
FUSED
SCADA
FUSED
MES
FUSED
ERP
FUSED
Quality
FUSED
IoT Sensors
FUSED
MANUFACTURING OPERATIONAL CHALLENGES

The Operational Challenges That Manufacturing Leaders Name First.

CHALLENGE 01 · UNPLANNED EQUIPMENT DOWNTIME

The Most Expensive Time in Your Factory Is Time You Are Not Producing.

Unplanned downtime is the single largest controllable cost driver — disrupting schedules, triggering expedited logistics, occupying maintenance at emergency rates, and creating quality risks from rushed restarts. The signals that precede failure — vibration, temperature, power, acoustic — are present hours, days, or weeks before failure. Omnierax monitors every asset continuously, identifying deterioration patterns early and enabling planned interventions that prevent unplanned failures.

CHALLENGE 02 · SUPPLY CHAIN FRAGILITY

Single-Supplier Dependencies and Limited Visibility Create Operational Vulnerability.

Supply chain disruptions have moved from occasional challenges to persistent strategic risks. Most manufacturers' visibility ends at their tier-one suppliers, leaving them unable to anticipate disruptions from deeper in the network. Omnierax maps and monitors the extended supply chain — building supplier risk profiles, tracking leading indicators of constraint, and identifying alternative sourcing before shortages occur rather than after production is impacted.

CHALLENGE 03 · QUALITY MANAGEMENT AT SCALE

Detecting Defects at the Inspection Stage Is Already Too Late.

Traditional quality management is inspection-based: products are checked after they are made. When a defect is discovered at final inspection — or worse, at the customer — the cost includes every defective unit that preceded it. Omnierax shifts quality management upstream — correlating outcomes with process variables to identify the conditions that produce defects before they occur, enabling adjustments that prevent defective output rather than detect it.

CHALLENGE 04 · MULTI-SITE PERFORMANCE MANAGEMENT

Why Does Plant A Consistently Outperform Plants B, C, and D — and How Do We Replicate It?

Multi-site manufacturers invest significantly in identifying best practices and replicating them across the network. Without a unified intelligence layer measuring performance consistently across all facilities using the same operational model, benchmarking is subjective and slow. Omnierax applies identical analytics across every facility, making best-practice identification and replication a data-driven process rather than an opinion-based one.

MANUFACTURING USE CASES

Omnierax Operational Intelligence Across the Manufacturing Lifecycle.

USE CASE 01

Know the Failure Before It Knows You.

PREDICTIVE MAINTENANCE
Omnierax monitors every piece of production equipment continuously — ingesting sensor data from IoT, SCADA, and MES — and applies multi-signal AI health models to assess condition and predict remaining useful life. When a deterioration pattern that precedes a specific failure mode is detected, Omnierax generates a maintenance recommendation with predicted time-to-failure window, fault condition, required action, and the parts and skills needed. Planned at the optimal time — early enough to prevent failure, late enough to maximize useful life.
USE CASE 02

Every Line. Every Shift. Every Minute — Optimized.

PRODUCTION OPTIMIZATION
Omnierax continuously analyzes production performance across every line, every shift, and every run — identifying bottlenecks, measuring sequence-change impact, quantifying OEE improvement potential, and generating schedule optimization recommendations. When actual production diverges from planned, Omnierax identifies root cause — equipment, material, quality hold, labor — and routes the appropriate response automatically.
USE CASE 03

Simulate Before You Execute. Test Before You Change.

DIGITAL TWIN OPERATIONS
Omnierax supports digital twin deployment — a real-time virtual model of the physical production environment reflecting the actual state of every asset, line, and workflow. Digital twins enable manufacturers to simulate the impact of proposed changes — sequences, interventions, layouts, capacity investments — before committing to physical implementation. Confirmed improvements proceed with confidence; unintended consequences are addressed in the virtual environment, not on the floor.
USE CASE 04

From Raw Material to Finished Goods — Visibility and Control Across the Whole Network.

SUPPLY CHAIN ORCHESTRATION
Omnierax connects manufacturing operations data with supply chain intelligence to create a unified picture of the material flow that sustains production. Inventory at every location, supplier lead times for every critical component, demand for every material, capacity across every lane — all visible simultaneously, all optimized together. When a disruption signal appears — financial stress, port congestion, weather — Omnierax immediately models the impact and generates alternative sourcing and scheduling recommendations before it reaches the factory floor.
MANUFACTURING DEPLOYMENT

From Single Facility to Global Manufacturing Network — Omnierax Scales With You.

Omnierax manufacturing deployments are structured to deliver value quickly at whatever scale represents the right starting point. A single facility deployment — connecting your existing MES, ERP, and OT data into a unified intelligence layer — can be operational in as few as 30 days for standard configurations. The same architecture scales to cover every facility in a global network without re-design.

PRE-BUILT INTEGRATIONS · 150+
SAP PP/PM
Oracle Manufacturing Cloud
Siemens Opcenter
Rockwell FactoryTalk
Honeywell Experion
ABB System 800xA
GE Digital Proficy
PTC ThingWorx
OSIsoft PI
Aveva
Infor CloudSuite Industrial
Microsoft Dynamics 365
Epicor
Dassault 3DEXPERIENCE
+ 150 more

The Intelligence to Run Your Factory at Its Full Potential Is Already in Your Data. We Help You Use It.

Request a Manufacturing Intelligence Briefing
BRIEFINGS INCLUDE A COMPLIMENTARY OPERATIONAL DATA ASSESSMENT