Helix IoT in Manufacturing

Predictive maintenance, supply chain optimization, quality control, real-time monitoring, smart factory concepts, energy efficiency, data-driven insights, worker safety, and operational efficiencies in manufacturing have all been improved by IoT innovations. These IoT enabled enhancements improve productivity, enhance product quality, reduce costs, and drive continued innovations in the manufacturing industry.

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World's Top Companies Rely on Our Trusted IoT Solutions

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How does Helix connect manufacturers?

Helix provides customized connectivity solutions with expansive network coverage that are scalable and secure. Delivering reliable and secure connectivity facilitates the real-time monitoring and control of manufacturing operations, optimizing processes, and enhancing operational efficiency.

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Simplified Operations

SOLO is a centralized SIM Management platform that was built to allow the monitoring and control of IoT devices, data usage, and connectivity status. Manufacturing companies can access real-time data, track device status, and optimize connectivity resources from a single interface, enhancing operational efficiency and simplifying deployments.

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Security & Compliance

Helix prioritizes security and compliance in all of our connectivity solutions. Robust security measures protect IoT devices, data transmission, and communication, ensuring the integrity, confidentiality, and privacy of sensitive data that is transmitted over cellular networks.

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Expansive Network Coverage

The Helix SmartSIM™ leverages partnerships with multiple network operators in a single location, providing expansive network coverage in both urban and remote areas. This ensures that manufacturing facilities, production lines, and warehouses have reliable connectivity, regardless of their location.

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Scalability

Helix provides the flexibility to easily scale up connectivity resources. Customizable data plans and connectivity options can be adjusted to accommodate changing requirements allowing manufacturers to optimize their connectivity, manage costs effectively, and adapt to evolving needs.

simpage-platform

Simplified Operations

SOLO is a centralized SIM Management platform that was built to allow the monitoring and control of IoT devices, data usage, and connectivity status. Manufacturing companies can access real-time data, track device status, and optimize connectivity resources from a single interface, enhancing operational efficiency and simplifying deployments.

simpage-platform

Security & Compliance

Helix prioritizes security and compliance in all of our connectivity solutions. Robust security measures protect IoT devices, data transmission, and communication, ensuring the integrity, confidentiality, and privacy of sensitive data that is transmitted over cellular networks.

simpage-platform

Expansive Network Coverage

The Helix SmartSIM™ leverages partnerships with multiple network operators in a single location, providing expansive network coverage in both urban and remote areas. This ensures that manufacturing facilities, production lines, and warehouses have reliable connectivity, regardless of their location.

simpage-platform

Scalability

Helix provides the flexibility to easily scale up connectivity resources. Customizable data plans and connectivity options can be adjusted to accommodate changing requirements allowing manufacturers to optimize their connectivity, manage costs effectively, and adapt to evolving needs.

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Why Connect Manufacturing?

Benefits of IoT in Manufacturing

Machines, equipment, and production systems are connected and controlled while sensors and actuators collect real-time data on various performance parameters. This data enables automated decision-making, process optimization, and the integration of machines into a seamless production flow.

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Not every SIM is a SmartSIM™

700+

Cellular global networks

190+

Countries

1

Global SIM

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SmartSIM™

Connect any device, anywhere, with one global SIM.

One Global Platform

Manage your entire IoT deployment through a single pane of glass with our comprehensive SIM management platform.

One IoT Connectivity Partner

Seamlessly connect any device to a local network in any country without having to manage multiple carrier relationships.

Learn More

IoT Solutions in Manufacturing

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Predictive Maintenance

By integrating sensors into manufacturing equipment, real-time data on performance, temperature, vibration, and other parameters can be collected. Through the utilization of predictive analytics, manufacturers can analyze this data, identify patterns, and accurately predict equipment failures or maintenance requirements. Implementing predictive maintenance strategies based on these insights allows for optimized maintenance schedules, minimized downtime, and improved overall equipment effectiveness (OEE).

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Smart Manufacturing

Connected devices, machines, and systems exchange data and communicate with each other to streamline operations, enhance productivity, and enable real-time decision-making. This includes machine-to-machine (M2M) communication, process automation, and data analytics for continuous improvement.

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Quality Control

During the manufacturing process, connected sensors gather data to identify any anomalies or deviations from the expected quality standards. This data-driven quality control approach empowers manufacturers to detect potential issues at an early stage, effectively reduce defects, and enhance product consistency and reliability.

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Worker Safety

Wearable devices equipped with sensors can monitor environmental conditions, detect hazardous situations, and alert workers and supervisors in case of emergencies. Real-time monitoring helps prevent accidents, minimize workplace hazards, and promote worker well-being.

pexels-kateryna-babaieva-2760344.jpg

Predictive Maintenance

By integrating sensors into manufacturing equipment, real-time data on performance, temperature, vibration, and other parameters can be collected. Through the utilization of predictive analytics, manufacturers can analyze this data, identify patterns, and accurately predict equipment failures or maintenance requirements. Implementing predictive maintenance strategies based on these insights allows for optimized maintenance schedules, minimized downtime, and improved overall equipment effectiveness (OEE).

Smart Manufacturing.png

Smart Manufacturing

Connected devices, machines, and systems exchange data and communicate with each other to streamline operations, enhance productivity, and enable real-time decision-making. This includes machine-to-machine (M2M) communication, process automation, and data analytics for continuous improvement.

pexels-thisisengineering-3862627.jpg

Quality Control

During the manufacturing process, connected sensors gather data to identify any anomalies or deviations from the expected quality standards. This data-driven quality control approach empowers manufacturers to detect potential issues at an early stage, effectively reduce defects, and enhance product consistency and reliability.

Worker Safety.png

Worker Safety

Wearable devices equipped with sensors can monitor environmental conditions, detect hazardous situations, and alert workers and supervisors in case of emergencies. Real-time monitoring helps prevent accidents, minimize workplace hazards, and promote worker well-being.

pexels-kateryna-babaieva-2760344.jpg

Predictive Maintenance

By integrating sensors into manufacturing equipment, real-time data on performance, temperature, vibration, and other parameters can be collected. Through the utilization of predictive analytics, manufacturers can analyze this data, identify patterns, and accurately predict equipment failures or maintenance requirements. Implementing predictive maintenance strategies based on these insights allows for optimized maintenance schedules, minimized downtime, and improved overall equipment effectiveness (OEE).

Smart Manufacturing.png

Smart Manufacturing

Connected devices, machines, and systems exchange data and communicate with each other to streamline operations, enhance productivity, and enable real-time decision-making. This includes machine-to-machine (M2M) communication, process automation, and data analytics for continuous improvement.

pexels-thisisengineering-3862627.jpg

Quality Control

During the manufacturing process, connected sensors gather data to identify any anomalies or deviations from the expected quality standards. This data-driven quality control approach empowers manufacturers to detect potential issues at an early stage, effectively reduce defects, and enhance product consistency and reliability.

Worker Safety.png

Worker Safety

Wearable devices equipped with sensors can monitor environmental conditions, detect hazardous situations, and alert workers and supervisors in case of emergencies. Real-time monitoring helps prevent accidents, minimize workplace hazards, and promote worker well-being.

How we benefit other industries

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