Our Solutions
Embedded Systems
With a keen focus on quality and innovation, our primary aim has been the advancement of embedded systems. We employ Linux and ARM platforms, leveraging the latest and most efficient technologies alongside modern programming languages such as C++ and Rust, to ensure optimal performance and maximum flexibility.
To guarantee seamless interoperability and straightforward integration with other systems, we adhere to standard protocols like CAN, J1939, and TCP/IP. We facilitate advanced IoT communications through REST APIs and publish-subscribe protocols like MQTT and Kafka, ensuring efficient and consistent connectivity between devices and the cloud. Security remains at the heart of our offerings.
We implement rigorous security practices, including fortifying embedded devices, utilizing state-of-the-art protocols for device authentication and authorization, and encrypting data from its origin. Hardware Secure Modules (HSM) are employed to safeguard sensitive data, while anti-tampering mechanisms, secure boot solutions, and stringent code integrity checks ensure the reliability of our software and firmware. Virtualization is an integral part of our approach to embedded systems.
We utilize Docker and Podman for containerization, allowing for scalable and efficient deployment of applications. In certain cases, we also employ hypervisors and virtual machines to create isolated and secure environments, further enhancing the flexibility and robustness of our systems. Our offerings are applicable across a diverse range of sectors, including telemetry, diagnostics, monitoring, fleet management, digital twin and modeling, data logging, and rapid prototyping.
Cloud computing
We design and deploy customized cloud solutions that can satisfy the clients specific requirements, facilitating effective communication between embedded systems and the cloud.
We seamlessly extend the capabilities of our embedded systems to the cloud through integration with platforms such as AWS and Azure using communication protocols like MQTT and Kafka. This process facilitates a smooth transfer of data and functionalities between embedded devices and cloud resources, ensuring a cohesive and scalable user experience.
Furthermore, we provide specialized web software development services, covering both the user interface(UI) and the backend. These services encompass the design and implementation of portals, dashboards,and reporting tools, enabling our clients to visualize and manage data effectively (utilizing technologies like React or Angular). We offer microservices on Kubernetes and integrations with cloud services providedby AWS and Azure to ensure optimal system performance and scalability.
Data Analytics And Machine Learning
Dealing with data analytics and machine learning, we utilize cutting-edge technologies to analyze large volumes of data from various sources. We employ both relational and non-relational databases to generate advanced and thorough reports. Within machine learning and artificial intelligence, we adopt innovative approaches to create and manage datasets used for model training, that include images, texts, and other types of data.
The datasets are then used to train models (using libraries and frameworks as PyTorch or TensorFlow) to provide in-depth analysis and accurate predictions. The models can be served as REST APIs or deployed on edge devices.
We leverage state-of-the-art technologies for machine learning, such as MLOps and MLflow, enabling us to efficiently manage the entire lifecycle of models, from creation to deployment and continuous performance monitoring. In industries such as automotive, for example, we create solutions for anomaly detection and predictive maintenance, assess driver behavior, identifying risky or inefficient practices and providing suggestions for improving safety and efficiency. We analyze and monitor the performance of complex systems, predicting potential malfunctions by comparing real data with their Digital Twin.