Industrial Digitalisation &Smart Manufacturing

Connect Every Machine.Digitalise Every Process.Optimise Production.

Transform traditional manufacturing operations into connected, data-driven production environments. We enable manufacturers to digitalise both legacy analog machines and modern CNC equipment through IoT retrofitting, machine connectivity, real-time monitoring and intelligent production analytics.

Whether your factory operates conventional lathes, milling machines, drilling machines, hydraulic presses or advanced CNC machining centres, we bring machine-level operational data into a unified digital platform — without requiring costly machinery replacement.

Core Functional Capabilities

IoT Retrofit

Legacy Analog Machine Digitalisation

Retrofit conventional and non-digital machines with IoT sensors.
Capture machine ON/OFF status, operating hours and idle time.
Monitor vibration, temperature, current consumption and machine activity.
Track production cycles and machine utilisation.
Identify downtime and operational inefficiencies.

Controller Integration

CNC Machine Connectivity & Monitoring

Connect CNC machines through available controller interfaces and industrial protocols.
Capture spindle speed, feed rates, cycle times and machine status.
Monitor active programs, alarms, production counts and machine utilisation where supported.
Track tool usage, operating conditions and machine performance.
Identify production bottlenecks and abnormal machine behaviour.

Shop-Floor Visibility

Real-Time Production Monitoring

Unified dashboards across analog and CNC equipment.
Live machine status and production floor visibility.
Production output, cycle-time and idle-time tracking.
Downtime monitoring and production reporting.

Analytics & Benchmarking

OEE & Performance Analytics

Calculate Overall Equipment Effectiveness (OEE).
Monitor Availability, Performance and Quality.
Identify recurring downtime and production losses.
Compare machine, shift and production-line performance.

Condition Monitoring

Predictive Maintenance & Anomaly Detection

Detect abnormal vibration, temperature and electrical consumption.
Identify early warning signs of equipment deterioration.
Generate maintenance alerts based on operating conditions.
Reduce unplanned breakdowns and maintenance costs.

How We Digitalise Different Machine Types

IoT Sensor Retrofit & Signal Monitoring

Analog / Conventional Machines

Traditional machines without digital controllers can be upgraded using external IoT sensors, electrical signal monitoring and retrofit connectivity devices. These capture machine activity and operating conditions and transmit the data to an edge gateway for real-time monitoring and analytics.

Examples:

Conventional lathesMilling machinesDrilling machinesHydraulic pressesGrinding machines

Controller Interfaces & Industrial Protocols

CNC / Digitally Controlled Machines

Modern CNC machines can be integrated through supported controller interfaces, APIs and industrial communication protocols. This allows the platform to retrieve richer operational information, including machine status, spindle utilisation, cycle time, alarms, program information and production counts.

Examples:

CNC lathesCNC milling machinesMachining centresLaser cutting machinesAutomated production equipment

Deployment Architecture

Analog Machines Architecture

IoT Sensor Retrofit Stream

Data Ingestion

IoT Sensors / Electrical Monitoring

Non-invasive current clamps, tri-axial vibration probes, surface temperature sensors and cycle switches.

Connectivity

Retrofit Connectivity Modules

Signal conversion, analog-to-digital I/O isolation, and Modbus RS-485 / Ethernet transmission.

Edge Layer

Edge IoT Gateway

Sub-second telemetry sampling, edge filtering, local data buffering, and encrypted MQTT transport.

Operations Hub

Central Analytics Platform

Real-time machine dashboards, automated OEE analytics, idle-time tracking, and predictive alerts.

CNC Machines Architecture

Digital Controller Stream

Controller Core

CNC Controller

Fanuc, Siemens Sinumerik, Heidenhain, Mitsubishi, and automated production cell controllers.

Protocol Bridge

OPC UA / MTConnect / Supported Interfaces

Open standards and native vendor APIs streaming spindle RPM, feed rates, alarms & programs.

Edge Layer

Edge Gateway

High-frequency register polling, edge transformation, protocol harmonization, and secure TLS transmission.

Operations Hub

Central Analytics Platform

Real-time cycle monitoring, part counts, alarm root-cause classification, and line OEE reporting.

All connected machines feed into a unified monitoring platform, providing real-time operational visibility, production analytics and actionable insights across the factory.

Live Production Telemetry Console

Real-time operational streams connecting legacy analog retrofits and modern CNC machining centres into unified plant-floor intelligence.

Live Production Floor Telemetry· Edge Gateway Stream

Unified machine-level status across conventional retrofits and modern CNC controllers.

Availability

96.4%

Uptime Target Met

Performance

93.2%

Minor Micro-Stops

Quality Rate

99.5%

Conforming Parts

Overall OEE

89.4%

Automated Benchmark

5-Axis CNC Machining Centre

CNC Machining Centre

Active Cycle

Interface:OPC UA / Native Controller API

Spindle Speed12,400 RPM

Feed Rate1,850 mm/min

Cycle Progress78% (14m 20s)

Shift Output142 pcs

Telemetry Log:Spindle speed and feed rates verified nominal. Zero controller alarms active.

Hydraulic Press Brake

Analog Machine · IoT Retrofit

Active Stroke

Interface:External IoT Sensors & Edge Gateway

Operating Pressure240 Bar

Vibration Severity1.8 mm/s

Power Draw28.4 A

Shift Cycles480 strokes

Telemetry Log:Electrical consumption and hydraulic vibration profile within standard operating limits.

Conventional Centre Lathe

Conventional Machine · IoT Retrofit

Spindle Active

Interface:Current Clamps + Tri-Axial Vibration Probe

Spindle Current14.2 A (Under Load)

Bearing Temperature38.4 °C (Normal)

Vibration RMS1.2 mm/s

Shift Utilisation86.2%

Telemetry Log:Continuous vibration and thermal monitoring indicate healthy bearing mechanical integrity.

2-Axis CNC Turning Centre

CNC Turning Centre

Idle · Feed Micro-Stop

Interface:MTConnect / Industrial Ethernet

Spindle Status0 RPM (Standby)

Controller AlarmAL-204 (Feed Hold)

Idle Duration01m 45s (Unplanned)

Shift Output88 pcs

Alert:Feed hold detected by controller interface. Downtime event automatically logged to shift report.

The Outcome

Extend the life of existing machinery

Improve equipment utilisation

Reduce downtime

Optimise production

Build a foundation for Industry 4.0

Ready to Connect Your Factory Floor with Amfibia?

Connect with our industrial automation engineers to assess your analog and CNC machine fleet, evaluate edge sensor options, and plan an on-site pilot.

Discuss Your Machine Fleet Explore All Operational Platforms