Bringing Intelligence to Devices

In today's world, integrating diverse data inputs and articulating insights about operations, using AI for making intelligent business decisions, are crucial for enterprises, whether the data is on-premises or in the cloud. NSP Simplifies this complex process with user-friendly solutions- NSP Envision™ IoT Edge

Step into a more productive and profitable future with NSP Envision™ IoT Edge solutions

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NSP Envision™ IoT Edge delivers critical IoT functionalities for edge devices, including cloud connectivity, local messaging, and software updates. It enhances real-time responsiveness, data privacy, and efficiency in various IoT and edge computing applications. Key components of edge solution include:

  • Edge Nodes/Gateways - Decentralized processing nodes for increased flexibility. Security protocols for robust security measures to protect your data.

  • 5G Connectivity: Harness the speed and reliability of 5G.

  • Analytics and AI: Unlock valuable insights with advanced analytics and AI.

  • Local communication for seamless device connection 

  • Cloud Connectivity: To transmit data and receive instructions.

  • Edge Computing Software, applications and IoT protocols 

NSP Envision™ IoT Edge streamlines cloud connectivity and local messaging via MQTT, facilitating seamless device connection to the cloud for transmitting telemetry data and receiving operational instructions. It also provides flexibility in updating and enhancing IoT devices and gateways. Additionally, it supports deploying and executing analytical algorithms and machine learning models on IoT device data locally, leveraging standard containers and local messaging.   Integrate with NSP IoT Edge Services, to elevate connectivity and unlock additional value from your edge devices. 

NSP IoT Edge computing operates on an open architecture that incorporates standard protocols such as OPC UA, Modbus and MQTT. This approach fosters interoperability, facilitates smooth integration, and enhances agility within the Edge ecosystem.


How It Works

The NSP Envision™ IoT Edge seamlessly connects with devices utilizing various industrial protocols, including Modbus, Modbus TCP, Modbus RTU, FTP, and wirelessly through 5G/4G cloud connectivity. It enables device connections to the cloud for the transmission of telemetry data and operation receptions. This platform also provides the flexibility to update and upgrade IoT devices and gateways.

Furthermore, it supports the deployment and execution of analytical algorithms and machine learning models on IoT device data locally, utilizing standard containers and local messaging.

How we do it



Some of the key features that sets NSP IoT apart:

  • Seamless Integration: Effortlessly integrate IoT devices into your operations.

  • Integration with Cloud: While IoT Edge emphasizes local processing, it often integrates with cloud platforms Edge Computing: Process data where it's generated for faster response times.

  • Custom Logic: Place custom logic precisely where it's needed, enhancing decision-making.

  • Standard Protocols: IoT Edge solutions typically support standard communication protocols like MQTT and OPC UA, ensuring compatibility and interoperability.

  • 5G Connectivity: Harness the speed and reliability of 5G for lightning-fast data transmission and capacity for massive device connectivity.

  • High reliability: 5G networks offer higher reliability and availability,

  • Data Privacy and Security: Robust security measures ensure your data is protected at all times.

  • Scalability: IoT Edge solutions can be scaled easily by deploying additional edge nodes as needed



Here are a few impactful benefits of IoT Edge

Diverse Device Connectivity
It offers compatibility with a wide range of industrial protocols, including Modbus, Modbus TCP, Modbus RTU, FTP, and wireless sensors using 5G/4G, enabling seamless integration with various devices and sensor types commonly found in industrial settings.
Efficient Telemetry Data Transmission
The platform allows for efficient transmission of telemetry data to the cloud and reception of operational instructions. This capability is essential for real-time monitoring and control of connected devices and systems.
Local Data Processing
The platform supports the deployment and execution of analytical algorithms and machine learning models on IoT device data at the local level. This local processing capability can enhance data analysis, reduce latency, and make quicker decisions without relying solely on cloud resources.
Real-Time Decision-Making
IoT Edge enables immediate data analysis and decision-making at or near the data source.
Low Latency
Real-time decision-making reduces latency and enables rapid responses to critical events.
Cost Efficiency
Reduced data transfer costs, optimized resource usage, and lower cloud computing expenses contribute to overall cost savings.

Improved Reliability
Edge devices can continue to function even when connectivity to the cloud is lost, ensuring uninterrupted operations.

Edge AI
Edge computing allows for the execution of artificial intelligence and machine learning models directly on edge devices. , enabling intelligent decision-making at the source.

Redundancy and Failover
Edge nodes can provide redundancy and failover mechanisms, enhancing system reliability and fault tolerance.

Use Cases

IoT Edge is used for real-time monitoring and control of manufacturing processes, ensuring efficient production, quality control, and predictive maintenance of machinery.


In smart city initiatives, IoT Edge helps manage traffic lights, surveillance cameras, environmental sensors, and street lighting, enhancing urban services and safety.


In commercial and residential buildings, IoT Edge solutions manage HVAC systems, lighting, and power usage to optimize energy consumption and reduce costs.


For logistics and transportation companies, IoT Edge devices monitor vehicle performance, driver behavior, and cargo conditions, improving safety and efficiency.


In retail environments, IoT Edge supports inventory tracking, point-of-sale systems, and customer analytics, enhancing the shopping experience and optimizing operations.


IoT Edge is used for remote monitoring and control of oil and gas equipment, pipelines, and drilling operations, improving safety and reducing downtime.


IoT Edge enables intelligent robots and drones to make real-time decisions based on sensor data, enhancing automation in various industries.


Case Studies


Moving Forward

Seeking to Bridge Connectivity Gaps and Harness the Potential of IoT Edge in Compliance with 5G