At eGlue Technologies, we tackle complex technological challenges by offering advanced, customised solutions.
Our work spans industries such as automotive, agriculture and industrial applications. Each solution is designed to integrate seamlessly with existing systems.
We utilize cutting-edge technologies such as AI, machine learning and cloud computing to turn challenges into opportunities.
We have been developing an advanced IoT platform in collaboration with key partners. This platform is designed to collect, process, and analyze data from diverse sources, offering flexibility to serve industries such as industrial, agriculture, automotive, and more. It seamlessly integrates with AI and machine learning technologies, transforming data into actionable insights.
The platform collects data using a customizable edge framework that is compatible with any Linux-based hardware. This data is organized for various applications, including predictive analytics and AI model training, both in the cloud and at the edge.
Data can be processed locally on the edge using AI algorithms for real-time analysis. It is then sent to the cloud, where it is optimized, reorganized, and stored in dedicated databases for further analytics and AI model training. AI models trained in the cloud can be redeployed to the edge, enabling devices to operate autonomously and intelligently. The platform includes a user portal for managing devices and data seamlessly, offering real-time monitoring to enhance operational efficiency.
We developed an advanced telematics platform for international clients like IVECO and CNH, designed for the automotive and agriculture sectors. The platform features custom middleware for ARM-based telematics control units running Linux, enabling vehicle connectivity, OTA (Over-the-Air) updates, data collection and diagnostics.
It ensures secure communication between vehicles and external systems while managing short-range connections for mobile devices. The platform simplifies custom app development by providing an interface for interacting with vehicle hardware. By connecting to vehicle buses, it collects and transmits data for analytics, diagnostics and fault prediction. OTA updates are supported for both the control unit and other connected devices.
The system also enables device geolocation with dead reckoning models, offering precise positioning data. Future capabilities include supporting autonomous vehicles, intelligent fleet management, and smart city integration for improved road safety and traffic management.
We developed a custom software platform designed to deliver top-tier security for personal devices, including laptops and Android smartphones. This solution seamlessly combines a user-friendly experience with robust protection.
To enhance security, we integrated enterprise applications that can only access the corporate network through a VPN. These applications strictly adhere to the organization’s security protocols, ensuring all communications remain private and safeguarded from external threats.
For laptops, we created a secure environment by deploying a custom Linux operating system as the primary host OS. A virtual machine is layered on top to run the customer-specific operating system.
For smartphones, we customized an Android OS based on the AOSP project, preventing unauthorized updates and allowing only trusted applications to be installed.
This setup limits or disables access to sensitive hardware components, such as webcams, microphones, and critical USB ports, from both the customer OS on laptops and the custom Android OS on smartphones.
Both solutions feature a secure boot system to ensure software integrity, with data encrypted using strong passwords and cryptographic keys securely stored in a Secure Element. All communications are protected through VPNs and firewalls, complemented by continuous monitoring for unusual activity.
Additionally, the operating systems have been hardened to enhance their security, making them resilient against a wide range of threats, including privilege escalation, malware, and code injection attacks.
