SAFİR IoT

Safir IoT is an Internet of Things (IoT) Platform with an open and flexible architecture developed for the integration of industrial assets into the digital world. Unifying devices, sensors, and systems from different manufacturers into a single center, the platform automates data collection, processing, and device management processes. It transforms raw data into meaningful insights through real-time data collection from the field, data normalization, and rule-based filtering mechanisms. With comprehensive protocol support (MQTT, OPC-UA, Modbus, etc.) and Edge AI capabilities, it reduces cloud dependency and minimizes latency by running machine learning models directly on edge devices.

  • Predictive Maintenance

Real-time analysis of data from machinery and equipment to detect failure risks in advance and minimize downtime.

  • Anomaly Detection

Real-time identification of abnormal conditions in production lines or energy grids, triggering automated actions.

  • Smart Energy and Building Management

Maximizing energy efficiency through consumption data tracking and automated orchestration scenarios.

  • Real-Time Asset Tracking

Instant monitoring of status, location, and performance data for critical assets within logistical and operational processes.

  • Industrial Data Normalization

Unifying data from machines speaking different languages (protocols) into a common standard to feed corporate systems such as ERP and MES.

 

Advanced Data Management:

Transforms raw data into meaningful insights through real-time field data collection, data normalization, and rule-based filtering mechanisms.

 

Comprehensive Protocol Support:

Offers broad compatibility with industrial communication protocols (MQTT, OPC-UA, Modbus, etc.). Both modern IoT devices and traditional industrial control systems (PLC/SCADA) can be rapidly integrated into the platform.

 

Edge AI and Analytics:

Provides the capability to run machine learning models directly on edge devices. This reduces cloud dependency, minimizes latency to critical levels, and enhances local processing power.

 

Modern Microservices Architecture:

The system operates as independent services thanks to container-based (Docker/Kubernetes) deployment support. This architecture enables easy updates and seamless scalability.

 

Hybrid Deployment Flexibility:

Platform components can be deployed in a hybrid manner across edge (field), on-premise, or cloud environments, depending on the specific use case.

 

Enterprise-Grade Security

Equipped with end-to-end encrypted data transmission, advanced authentication, and authorization mechanisms. Data security is maintained at the highest level through Role-Based Access Control (RBAC).