Product Type Module
Define reusable device blueprints for device families with expected telemetry and commands.
SenzMatica AIoT Platform
An end-to-end integrated platform
Empowers you to seamlessly connect billions of IoT devices and efficiently route trillions of AI possibilities, enhancing scalability and unleashing boundless potential.
Edge + cloudReal-time insightsScalable AI
Now available
Open Source v1.0.0 Release
SenzMatica Device Management Module (DMS) is now open source! Start managing your IoT devices with our powerful, community-driven platform.
Device Module
Onboard and manage individual devices with product types, IDs, names and configurations.
Transcoding Module
Java-based decoders and encoders to translate device payloads to/from SenzMatica format.
Connectivity Module
Provision device credentials for HTTP(S) and MQTT connections with secure authentication.
Backend
magma-core
Core services and API
The backend repository contains the core services, API endpoints, and business logic for device management.
View RepositoryFrontend
magma-device-management-portal
Device management web interface
The frontend portal provides an intuitive web interface for managing devices, product types, and connectivity.
View RepositoryGetting Started
Supported environment and setup requirements
Operating System
- CentOS 9 (recommended)
- Rocky Linux 9
Runtime & Database
- OpenJDK 8
- Node.js v16.x
- MongoDB 5.0
Infrastructure
- VerneMQ 1.12.x
- Nginx
Licensed under Apache License 2.0
Join our open-source community! Contribute, report issues, or get involved. Contact us at info@senzmate.com
Architecture
SenzMatica Platform Architecture
One stack from edge kits through the device cloud to AI services — so products do not need five vendors stitched together.
IoT KitsSensors, cameras, and edge intelligence on device.
IoT CoreDevice management, connectivity, and secure data flow.
AI CorePipelines, models, and real-time operational insight.
SenzMate's Products Are Trusted by Leading Companies Worldwide
DevicePulse.AI
Introducing a powerful, context-aware AI assistant designed for post-deployment bulk IoT device maintenance. To detect, diagnose and resolve issues efficiently.
Connect Through Any IoT Platform
Comprehensive Monitoring and Testing
Accelerated Troubleshooting
DevicePulse.AI seamlessly integrates with any IoT platform, including Azure IoT Hub, AWS IoT, SenzMatica, and more. It also supports data connectivity via REST API, ensuring continuous data monitoring to observe changes in real-time.
IoT Kits
Revolutionize Your Business with Our Industry-Specific IoT Kits
IoT Kits assist you connect devices with visual and sensor input streams, capture data via wireless networks and provide intelligence to the edge while securely upgrading insights to the cloud for further processing.
Open sourceSensors of IoT Kits
Connect with sensor and visual inputs
Open sourceIoT Data Processing
Process the raw input and identify the real world facts
PremiumPower consumption
Power estimation in multi-socket systems
PremiumSensor calibration
High performing Remote calibrations to keep data accurate
IoT Core
Innovate Faster with Our Modular and Customizable IoT Core
SenzMatica IoT core focuses on every key component to manage AIoT applications with capabilities to manage millions of connected devices with a high-load, scalable architecture to derive insights from securely stored Big Data through AI, ML, and Deep Learning.
Open sourceUser management
Dynamic access control features based on user roles.
Open sourceLoad Balancer
Manage and control millions of connected smart devices simultaneously.
PremiumRemote configuration
Connect and setup your widely dispersed IoT devices remotely.
PremiumData protection
Security-enhanced environment for sending and receiving data from IoT devices.
AI Core
Get smart insights from the IoT data with AI
AI Core processes the sensor and visual data inputs from the deployed IoT Kits and visualises the data to deliver vital real-time information for customers to uncover new opportunities. Data generated from IoT kits can be analysed using machine learning and data analytics to find patterns to extract insights.
Open sourceIoT Data Pipeline
End to End Pipeline for Machine Learning process of real time IoT Data
Open sourceDefect detection
Auto defect detection capability in images and videos
PremiumAuto quality testing
Automated quality testing on a huge number of manufactured IoT kits
PremiumQuick IoT ML platform
Easy-to-use web-based ML platform for IoT
Compare
Feature Comparison Matrix
Switch layers to see which capabilities ship in Community versus Premium.
| Capability | Community | Premium |
|---|---|---|
| Connecting with sensor inputs | ||
| Computer vision based inputs | ||
| Processing the sensor raw input to identify the real world facts | ||
| Analyzing the visual raw data to discover the real world insights | ||
| Communicating with other Edges in the RF wireless network | ||
| Interacting with other Edges in the LoRa wireless network | ||
| Power optimization in the Edge | ||
| Advanced Security mechanisms in the Edge | ||
| Building Intelligence in the Edge | ||
| Communicating with cloud servers via 2G,3G, WiFi | ||
| Cloud communicating via 4G, NBioT | ||
| Basic Firmware Libraries | ||
| Premium Firware Libraries | ||
| Integration with Over the air update | ||
| Customized Circuit and PCB Design | ||
| Device Manufacturing Processes | ||
| Remote Calibration module | ||
| Getting Certification |