Industrial AI · Smart Factory

An industrial AI company
that turns industrial floor data
into operational answers

From equipment connectivity, time-series anomaly detection and predictive maintenance, to vision AI, operations screens and manufacturing execution — EdgenomiX designs and builds the EGNOX product family for the industrial floor in-house.

Product Lineup
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Referenced International Standards
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AI Analysis Types
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Operational Flow
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// 01 — WHY IT MATTERS

We Start From the Problems Manufacturing Floors Face

More and more equipment gets added, but the data stays scattered; alarms arrive, yet the cause shows up too late. EdgenomiX closes this gap with products.

The Data Is There, but Connecting It Is Hard

Because each machine uses a different communication method and screen, even just collecting the data often takes a long time.

  • Legacy equipment and new machines coexist
  • Different protocols and wiring environments at every site
  • Data structures that remain hard to use even after collection

Anomalies Are Visible, but the Response Is Late

Alarms arrive, but it takes a lot of time to figure out why they happened and where to start looking.

  • Identifying the cause matters more than the event itself
  • Explanations that floor operators can also understand are needed
  • A workflow that reviews history and manuals together is needed

Operational Information Is Fragmented

When equipment status, quality, production status and maintenance history all operate separately, decision-making slows down.

  • The gap between floor screens and headquarters screens
  • Production, quality and equipment information not connected to each other
  • Manual work for reporting is repeated
// 02 — PRODUCT LINEUP

The EGNOX Product Family

Start with one product matched to your floor's problem, then expand as far as needed. Select a product on the left to review its core features and screen layout.

EGNOX Vision

Product page →

A vision AI that connects your existing IP cameras (RTSP) as-is and detects people, safety-gear compliance, fire and more in real time on a PC.

EGNOX Vision Agent — actual PC application screen detecting people, hard hats and safety vests in real time from construction-site video

This is the actual operating screen of EGNOX Vision Agent. Displayed items may vary depending on the deployment environment.

// 03 — ARCHITECTURE

From Equipment to Operations, One Data Flow

Signals from field equipment are collected and analyzed at the edge, operated in the cloud, and connected to manufacturing execution. The EGNOX product family covers each segment of this flow.

Field Equipment Sensors · PLC · Cameras Legacy Machines Edge Collection & Analysis EGNOX IoT EGNOX Edge HMI Cloud Operations EGNOX Cloud Time-Series AI · Dashboard Execution & Improvement EGNOX MES Reports · Actions
// 04 — STANDARDS-ALIGNED AI

International Standards Frameworks as Our Design Baseline

We design time-series anomaly detection and predictive maintenance not as separate features but as a single operating system. The standards below are not a “certification” claim but the baselines we reference when designing products and PoCs.

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Referenced ISO & IEC Standards
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CM&D Monitoring Structure
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AI Analysis (Time-Series · Vision · RAG)
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EGNOX Product Lineup

CM&D Structure and Equipment Criticality

We first define the monitoring layers and priorities, starting by clarifying “what to watch and how often.”

  • Data processing, communication and presentation structure based on the ISO 13374 series
  • Condition monitoring programme design in the context of ISO 17359
  • Adjusting sensor, interval and alarm priorities according to equipment criticality

From Anomaly Detection to RUL

We consider a structure that not only flags whether an anomaly exists but also extends to reviewing deterioration trends and remaining useful life (RUL).

  • Reflecting the prognostics / RUL context based on ISO 13381-1
  • Separating caution, warning and inspection-recommendation stages
  • Recording algorithm outputs separately from operational actions

AI Quality and Explainability

We aim for a structure that records not only model performance figures but also data quality, explanatory grounds and robustness reviews.

  • ISO/IEC 23053 AI/ML framework
  • ISO/IEC 5259 data quality evaluation framework
  • Reflecting the context of ISO/IEC TS 6254 · ISO/IEC TR 24029-1

* The standards referenced on this site indicate design baselines and review items; the scope of per-project certification and conformity declarations requires separate discussion.

// 05 — USE CASES

Applied on Floors Like These

From safety monitoring to predictive maintenance and production execution — these are the representative scenarios the EGNOX product family handles.

Safety & Vision Monitoring

Using CCTV/IP cameras to quickly identify safety compliance, hazardous situations and process anomalies.

  • Related product: Vision
  • Field alerts and control-room integration
  • Local analysis architecture can be reviewed

Equipment Condition Diagnosis & Predictive Maintenance

We build an operational flow that watches condition changes from sensor data and catches early signs first.

  • Related products: Edge HMI · IoT · Cloud
  • Choose between a field HMI or cloud control
  • Can be linked with maintenance history

Production Execution & Quality Operations

We organize the screens needed for floor execution — from production status and quality events to work-standard search — together with AI.

  • Related products: MES · Cloud
  • Organizing dashboards and reporting flows
  • A phased deployment structure can be designed
// 06 — HOW WE WORK

Collect → Understand → Operate → Improve:
an approach centered on the real floor workflow

We design it so that it does not stop at equipment connectivity but continues through AI analysis, operations screens, and the reporting and improvement flow.

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Data Collection

We first connect field inputs such as sensors, PLCs, cameras and legacy machines.

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AI Analysis

Through time-series analysis, vision AI and retrieval-based AI, we help explore early signs and their causes.

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Operations Screen Integration

We carry the response through dashboards, alerts, maintenance, and production-execution screens.

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Improvement Cycle

We organize operational metrics and reporting flows to compare before and after deployment and iterate on improvements.

// GET STARTED

Start Evaluating a Deployment

Product demos, scope of application, deployment schedule — we guide you step by step, tailored to your floor's situation.