Build your own IoT SAAS with Appscrip’s SAAS IoT Platform
Device management, data collection, processing and visualization for
your IOT solution with a full multi tenant SAAS architecture in 2024.
- Customizable
- Scalable
- 100% Source Code Ownership
- Customizable
- Scalable
- 100% Source Code Ownership
Table of Contents
Futureproof your IoT platform with AI in 2024
Boost your IoT platform with AI for a future proof SaaS IoT solution
- Leverage AI to better understand data and use it for predictive insights.
- Use AI for human-like decision making based on data insights.
IoT Platform Features
Optimize your IoT platform with our feature-rich solution: seamless protocol
support, device management, data visualization, security, scalability, and user-friendly controls.
HTTP & MQTT Protocol Support
Enables connectivity via industry standard MQTT & HTTP protocols and supports both cloud and on-premise deployment
Provision & Manage Devices
Create different devices, uniquely id them and assign them to customer accounts.
Collect & Visualize Data
Collect and store telemetry data in a secure & fault tolerant way and visualize data in flexible dashboards.
Process & React
Transform and normalize your device data, raise alarms on incoming telemetry events, attribute updates, device in-activity and user actions.
Highly Secure
NGINX reverse proxy for security, load balancing and termination of of TLS and DTLS connections. Security at every layer.
Performant
System built using Elixir and Golang it is fast and supports robust execution and has a small footprint.
Extensible
System is highly customizable and can be extended to support more devices and integrate into different external systems.
Microservices
Modern micro-service architecture with easy to maintain services with option to deploy in multiple regions.
IAM Management
Identity & Access Management architected via Keycloak to support advanced RBAC for IoT.
Web Based Control Panel
Fully functional control panel built with Flutter Web that can run as a web based and a desktop application
Mobile Application
Apps for iOS and Android built using flutter for end users to manage their devices and billing.
Billing & SaaS IoT Platform
Effortlessly manage multiple tenants, devices, and more with Appscrip’s our
SAAS tool for your IoT platform.support, device management, data visualization, security, scalability, and user-friendly controls.
Register & Manage Devices
Assign Devices To Accounts
Manage End User Accounts
Manage Tariff Plans
Manage Account Users
Manage Payments
Real Time Dashboard
IoT Mobile App for iOS & Android
Appscrip’s SaaS IoT platform for Android and iOS mobile apps provides robust
support for various features in multiple environments.
Android and iOS App
SSO Support
Manage Devices
Manage Payments
Prepaid Devices
Track Usage
GPS Tracker
Manage Vehicles
Smart IoT Meters
Appscrip’s IoT platform provides out-of-the-box components and APIs to dramatically drive down effort required to create smart metering solutions, resulting in highly improved time to market, reliability, and competitiveness of your solutions. By our estimates, companies may save up to 90% of their product development time when utilizing the following features and benefits of Appscrip’s IOT platform :
- Reliable and fault tolerant data collection for your smart water meters, energy monitors, gas meters, etc.
- Powerful rule engine to process collected data and produce alarms and valuable insights
- Advanced, customizable data visualization for real-time and historical smart metering monitoring
- Alarm widgets to instantly notify users and operators about any critical events or unusual consumption levels
- Customizable end-user dashboards (featuring drill-down capabilities) to analyze and share the results of smart metering monitoring
- Remote control and OTA updates for your smart meters and other devices
- Customizable mobile applications with minimum coding efforts
The Appscrip IoT platform provides production ready server infrastructure to connect your smart meter devices, collect, store and analyze smart metering data, and share results of the analysis with your customers and end-users.
IoT Asset / Fleet Tracking
An IoT asset tracking involves using Internet-connected devices—gateways, modules, and GPS/GNSS or other location tracking technologies—to track the location, performance, and condition of mobile assets, vehicles, and equipment.
Location data is streamed though message queues into a time series DB like Influx DB and also into Apache Pinot.
Queries are written on Apache Pinot to build dashboards.
Alarms are programed using queries on top of Apache Pinot.
Alarms like speed limit hit, vehicle out of allowed zone are shown in real time on a dashboard.
Devices are mapped to a vehicle and vehicles are live tracked on a map in real time.
End users can track their devices in real time on their mobile application
IoT Tech Stack
Incorporates various sensors, actuators, and devices (e.g., Arduino, Raspberry Pi, ESP32/ESP8266) for data collection and interaction with the physical environment.
Isometrik IoT Core offers comprehensive tools for device management, data collection, analysis, and seamless integration with other systems.
Employs edge gateways, servers, and analytics, alongside Docker and Kubernetes for edge containerization and orchestration, ensuring low latency, reduced bandwidth, and enhanced privacy.
Supports MQTT, HTTP/HTTPS, and AMQP for efficient device-to-device and device-to-backend communication.
Leverages databases (SQL and NoSQL), data lakes, stream processing, and data analytics technologies for efficient storage, processing, and analysis of IoT-generated data.
Implements robust security measures including authentication, encryption (TLS/SSL), access control policies, intrusion detection/prevention systems, and secure coding practices to safeguard IoT deployments.
Facilitates monitoring, control, and data visualization through tools like Apache Superset, Grafana, and versatile UI platforms including Flutter for web, mobile (iOS/Android), and desktop applications.
Integrates TensorFlow and PyTorch for advanced analytics, enabling predictive maintenance, anomaly detection, and optimization of IoT operations.
Utilizes Docker, Kubernetes, and CI/CD tools (e.g., Bitbucket pipelines, Circle CI) for efficient deployment, scalability, and continuous integration/continuous deployment. Implements monitoring and logging solutions like Prometheus and Grafana
Strives to comply with regulations such as GDPR, HIPAA, ISO/IEC 27001, NIST Cybersecurity Framework, and industry-specific standards to ensure regulatory compliance and data security.
FAQ
Our IoT platform utilizes a comprehensive tech stack tailored for seamless device management, data analysis, and integration with backend systems. Here's an overview:
- Device Hardware: Incorporates various sensors, actuators, and devices (e.g., Arduino, Raspberry Pi, ESP32/ESP8266) for data collection and interaction with the physical environment.
- Communication Protocols: Supports MQTT, HTTP/HTTPS, and AMQP for efficient device-to-device and device-to-backend communication.
- Edge Computing: Employs edge gateways, servers, and analytics, alongside Docker and Kubernetes for edge containerization and orchestration, ensuring low latency, reduced bandwidth, and enhanced privacy.
- IoT Platform: Isometrik IoT Core offers comprehensive tools for device management, data collection, analysis, and seamless integration with other systems.
- Data Storage and Processing: Leverages databases (SQL and NoSQL), data lakes, stream processing, and data analytics technologies for efficient storage, processing, and analysis of IoT-generated data.
- Security: Implements robust security measures including authentication, encryption (TLS/SSL), access control policies, intrusion detection/prevention systems, and secure coding practices to safeguard IoT deployments.
- Visualization and User Interface: Facilitates monitoring, control, and data visualization through tools like Apache Superset, Grafana, and versatile UI platforms including Flutter for web, mobile (iOS/Android), and desktop applications.
- Machine Learning and AI: Integrates TensorFlow and PyTorch for advanced analytics, enabling predictive maintenance, anomaly detection, and optimization of IoT operations.
- DevOps and CI/CD: Utilizes Docker, Kubernetes, and CI/CD tools (e.g., Bitbucket pipelines, Circle CI) for efficient deployment, scalability, and continuous integration/continuous deployment.
- Monitoring and Logging: Implements monitoring and logging solutions like Prometheus and Grafana for comprehensive system oversight and performance analysis.
- Regulatory Compliance and Standards: Strives to comply with regulations such as GDPR, HIPAA, ISO/IEC 27001, NIST Cybersecurity Framework, and industry-specific standards to ensure regulatory compliance and data security.
