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ARRAYMATIC

ArrayMatic Technologies

B-23, B Block, Sector 63, Noida, Uttar Pradesh 201301

[email protected]

+91-9555505981

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HomeIndustriesManufacturingIoT-Enabled Smart Factories

Manufacturing

IoT-Enabled Smart Factories

Factory connectivity architecture that links machinery, sensors, and production lines via industrial IoT protocols — enabling real-time monitoring, control, and data-driven operations.

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Industry overview

Industrial IoT platforms that connect shopfloor machinery and sensors via standard protocols (OPC-UA, MQTT) — providing real-time production visibility, remote control capability, and the data foundation for advanced analytics.

At a glance

  • OPC-UA and MQTT data collection from existing PLCs and SCADA
  • Edge computing deployment without disrupting live operations
  • Time-series data platform with asset hierarchy contextualisation

Most manufacturing plants have significant untapped data sitting in PLCs, SCADA systems, and standalone machines that have never been networked together. Before any advanced analytics or AI can be applied, this data needs to flow reliably from machines to a platform where it can be stored, contextualised, and acted on. That connectivity layer is what ArrayMatic builds first.

Our smart factory stack

We deploy edge computing nodes that sit alongside existing equipment, collect data via OPC-UA and MQTT without disrupting live operations, and transmit to a time-series cloud platform with contextualisation against asset hierarchies and process definitions. Real-time dashboards give production managers shopfloor visibility from any device. Digital twin models provide a virtual representation of plant state for simulation and what-if analysis. Energy monitoring modules track consumption by machine and shift.

Key capabilities

What we deliver

Engagements are scoped to your business context — these are the core capabilities we bring to manufacturing clients.

OPC-UA and MQTT data collection from existing PLCs and SCADA

Edge computing deployment without disrupting live operations

Time-series data platform with asset hierarchy contextualisation

Real-time production dashboards for shopfloor and management

Digital twin modelling for simulation and what-if analysis

Energy consumption monitoring by machine, line, and shift

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