Industry 4.0

Manufacturing Intelligence,
From Shop Floor to Boardroom

Adyantrix builds data-driven manufacturing platforms that connect every machine, process, and manager — driving operational excellence at every level of your organisation.

OEE MonitoringMES IntegrationIoT DashboardsISO-Aligned
40%
OEE Improvement
65%
Less Downtime
Challenges & Solutions

We Turn Operational Challenges
Into Competitive Advantages

Every manufacturer faces the same bottlenecks. We have solved them — repeatedly, across sectors and continents.

Challenge

Downtime costs millions

Unplanned stoppages drain revenue and erode customer trust with every missed delivery window.

Predictive Uptime

Our predictive maintenance models analyse vibration, temperature, and cycle-time anomalies to surface failure risks before machines go down — keeping your lines running.

Challenge

Quality escapes drain margins

Defects discovered downstream are 10x more costly than those caught at source — and they damage your brand.

Inline Quality Intelligence

Vision-based inspection, automated SPC triggers, and closed-loop feedback to operators eliminate escapes and shrink the cost of poor quality at every stage.

Challenge

No real-time visibility

Decisions made on yesterday's data lead to overproduction, stock-outs, and reactive management.

Live Operations Hub

A unified operations centre aggregates shift output, WIP inventory, and energy consumption — giving every stakeholder a single source of truth, updated live.

Capabilities

Manufacturing Technology Stack

Purpose-built modules that snap together or stand alone — deployed on-premise, hybrid, or fully in the cloud.

Production Scheduling

Dynamic scheduling engines that react to machine availability, order priority, and material flow in real time.

IoT Data Collection

Edge gateways and sensor integrations that stream machine telemetry directly into your analytics layer.

Quality Control

Automated inspection workflows, SPC charting, and defect traceability from raw material to finished good.

MES Integration

Bidirectional connectors to SAP ME, Siemens Opcenter, Rockwell FactoryTalk, and custom MES platforms.

Predictive Maintenance

ML-driven failure forecasting that flags anomalies weeks before breakdown — eliminating costly surprises.

Digital Twin

Virtual replicas of your production assets that simulate scenarios, validate changes, and guide optimisation.

Connecting Every Layer
of Your Operation

A unified data pipeline that flows from the machine to the decision-maker — with no gaps, no silos.

Shop Floor

PLCs, CNC machines, sensors, and assembly lines.

Edge Devices

Local gateways pre-process and buffer telemetry data.

Cloud Platform

Scalable data lake, event streaming, and ML inference.

BI Dashboards

Executive KPIs, OEE boards, and real-time alerts.

Industry Standards We Work With

Compliance-ready from day one.

ISO 9001ISO 14001OPC-UAMQTTIEC 62443SCADAANSI/ISA-95
Why Adyantrix

Built by Engineers Who Understand the Factory Floor

  • Deep OT/IT convergence expertise — we bridge the gap between legacy PLCs and modern cloud platforms.

  • IEC 62443 security-first architecture, suitable for regulated and critical manufacturing environments.

  • Two-week proof-of-concept that delivers measurable OEE uplift before full-scale commitment.

  • Deployed across three continents — automotive, food & beverage, electronics, and heavy industry.

40%

Average OEE Gain

65%

Downtime Reduction

2 Wks

POC to Production

3

Continents Delivered

Explore Related Industries

Adyantrix delivers across the industrial spectrum.

Logistics

Fleet tracking, route optimisation, and last-mile delivery solutions built for scale.

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Healthcare

Clinical workflows, patient data platforms, and compliance-ready integrations.

Explore Healthcare
Construction

Project management, site IoT, and procurement automation for construction firms.

Explore Construction

Digitalize Your Factory Floor Today

From a two-week POC to full-scale deployment — let us show you exactly what intelligence looks like on your shop floor.

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