AIoT Gateways are advanced industrial devices that go beyond simple connectivity — they combine IoT networking with AI-powered intelligence at the edge. Acting as the centralized hub for all connected devices, sensors, and controllers, they enable not only device-to-device or device-to-cloud communication but also local AI-driven data processing for smarter, faster decision-making.

By integrating AI, these gateways don’t just transmit data — they analyze, predict, and optimize operations in real time, making them essential for next-gen industrial automation and intelligent energy management.

Key Capabilities
  • Multi-Connectivity Options: Wi-Fi, 4G/LTE, Ethernet, RS232/RS485, and Modbus support for flexible industrial integration.
  • AI-Powered Edge Computing: Perform real-time analytics, anomaly detection, and predictive maintenance locally — without relying solely on the cloud.
  • Data Aggregation & Processing: Collect, filter, and manage large volumes of IoT data with intelligent prioritization.
  • Smart & Secure Transmission: End-to-end encryption, AI-driven intrusion detection, and authentication safeguards.
  • Autonomous Operations: AI-based rule engines for event-driven control, reducing manual intervention.
  • Resilient Performance: Backup power options for uninterrupted data flow in critical environments.

seamless IoT Connectivity

Multiprotocol IoT networking capability offers interoperability with unconnected systems/other devices with varying protocol.

Data Redundancy

Options for memory storage for up to 4GB. This ensures there is no loss of critical data of the specific operations.

Process/Operations Monitoring

Digital/Analog input features enables to monitor all the process parameters through integration of pressure, flow, level, temperature, humidity sensors or other PLC devices with standard 0-20mA input.

Cloud Service Independency

Ability to publish either to AWS or Azure Cloud platform for Remote Monitoring Systems.

Data Security

Offers highly secured connectivity using the secured TLS data encryption.

Remote machine/process control

With the digital output feature of GW 3000L/P, you can remotely turn ON/OFF specific machines or shutdown larger plant process.

Common Use Cases
  • Advanced industrial automation with self-learning control loops.
  • Real-time data handling and AI-driven insights at the edge.
  • Protocol translation + AI-based optimization for medium-to-large scale deployments.
  • Rugged 4G/AIoT gateways for outdoor or harsh industrial settings.
  • Compact AI-enabled gateways for Modbus, MQTT, and smaller IoT/AIoT applications.

Key Features:

Product Models

    • M-Series: Multi-protocol, multi-application with AI edge inference.
    • P-Series: Power-efficient with PoE + built-in AI optimization.
    • L-Series: Lightweight, compact, and AI-ready for small deployments.
  • Ethernet, Wi-Fi, RS232/RS485, Modbus
  • Edge computing with Linux/Docker
  • Built-in MQTT, OPC UA, and cloud integrations
  • 4G/3G/2G support
  • Supports Modbus RTU/TCP, MQTT
  • 4G LTE connectivity with GPS
  • Edge logic for rule-based control.
  • Easy setup via web UI

What is an AIoT Gateway Device?

An AIoT Gateway is the smart bridge between field devices (sensors, meters, PLCs, controllers) and digital platforms (cloud or local servers).
It doesn’t just transmit data — it processes, analyzes, and secures it with AI before sending it onward.

Key AIoT Functions

  1. Smart Connectivity
    • Connects field devices to the internet or private cloud.
    • Ensures seamless communication between sensors, controllers, and platforms.
  2. Protocol Intelligence
    • Translates multiple protocols (Modbus, MQTT, HTTP, etc.).
    • AI auto-selects the most efficient path for reliable data transfer.
  3. Data Processing & Filtering
    • Filters raw IoT data before sending it to the cloud.
    • AI prioritizes critical signals, detects anomalies, and reduces noise.
  4. Remote Device Management
    • Configure, monitor, and update devices securely.
    • AI predicts device faults and enables proactive maintenance.

How It Works ?

  1. Connect: field devices (sensors, PLCs, meters, controllers) via wired or wireless methods.
  2. Translate & Process: data with protocol conversion + AI-driven filtering and anomaly detection.
  3. Act Locally: Use AI models at the edge for predictive actions (e.g., fault detection, energy optimization).
  4. Transmit Securely: Send refined insights to cloud, SCADA, or ERP systems with encryption.
  5. Manage Remotely: Monitor, configure, and control all devices from a centralized AI-powered dashboard.

Why Choose Our AIoT Gateways?

  • Smarter Connectivity: Seamless, secure communication between devices and platforms.
  • Predictive Reliability: AI-based failure detection to minimize downtime.
  • Optimized Performance: Intelligent filtering ensures only meaningful data is transmitted.
  • Regulatory Compliance: Built-in security and compliance support.
  • Future-Ready: Scalable for AI model upgrades and new industrial applications.

Who Benefits Most?

  • Industrial Automation & Manufacturing
  • Energy & Utilities (Smart Grid, Renewable Plants)
  • Smart Buildings & Infrastructure
  • Remote Monitoring & Predictive Maintenance Projects
  • IoT/AIoT Solution Providers

Users include:

  • System Integrators
  • Operations Engineers
  • IT & Network Managers