Technologies

Trivium’s expertise in enterprise software development combines deep knowledge of modern scalable architectures, cloud computing, and IT security.
We have delivered robust on-premise and cloud-based solutions using microservice, polyglot, and enterprise software architectures. Our teams support customers with DevOps practices, container-based virtualization, and orchestration systems, leveraging a rich library of reference architectures, reusable components, and proven best practices developed over many years.

We have successfully implemented large-scale enterprise solutions on the Java and .NET platforms, used by thousands of corporate customers for business-critical transactions. For performance-critical, real-time applications and machine-level programming, our expertise in C++ technologies and industrial communication protocols enables us to dive deep into the IoT stack of the future.

Our understanding of data analytics and machine learning helps customers unlock the value of their enterprise and IoT data, driving insights that optimize business models, operations, and offerings across their markets.

Trivium develops modern software applications for mobile devices and industrial HMIs. We take into account the particular challenges in this context, such as hardware limitations, harsh environments, IT security and M2M communication requirements.

With our in-depth knowledge of relevant technologies such as C++/Qt and Java/Angular as well as mobile platforms, such as iOS and Android, we develop human-machine interfaces for special devices and industrial environments. We support our customers in choosing the right development environment with native, cross-platform and hybrid approaches.

The cloud offers scalability, global reach, standardization, and optimized OPEX/CAPEX. For data-driven organizations, especially in the IoT domain, cloud analytics drives new value creation and digital business models. Trivium supports customers in defining and executing their cloud and data strategies — from identifying use cases and selecting the right technology stack to balancing on-premise, edge, and cloud architectures.

Our experience spans AWS and Microsoft Azure, and covers cloud-native and microservice architectures, Docker & Kubernetes, and connectivity via MQTT (e.g., RabbitMQ). We implement IAM (e.g., Keycloak), manage Service Mesh and infrastructure with Linkerd and Terraform, and provide logging & monitoring (Grafana, Prometheus, Loki), DevOps support, and end-to-end security. In Industry 4.0 and IoT, our expertise in industrial use cases, IoT platforms, and machine-level connectivity ensures secure, high-performance cloud solutions that meet industrial and critical infrastructure standards.

Artificial Intelligence is transforming how companies design, operate, and innovate. At Trivium, we help organizations harness the full potential of Generative AI, Machine Learning, and Machine Vision — from strategy and enablement to practical implementation.

Our Generative AI expertise covers both sides of the innovation curve: the creation and integration of GenAI functionality in industrial and enterprise applications (e.g., intelligent assistants, adaptive interfaces, or AI-driven analytics), and the use of GenAI to optimize engineering and software development, for example in requirement analysis, code generation, or QA automation. We work with leading ecosystems and models such as Github Copilot, Anthropic Claude, and Cursor, integrating them securely and effectively into our customers’ environments.

Trivium combines expertise in machine learning and machine vision to create intelligent solutions that interpret data, recognize patterns, and drive automated decision-making. Our capabilities include predictive analytics, natural language processing, image analysis, object detection, and quality inspection systems. By blending advanced algorithms with deep domain knowledge, we deliver scalable, high-performance solutions that help clients optimize operations, enhance product quality, and unlock new business opportunities.