Trivium Solutions

Trivium Solutions is a software engineering company that provides development services to research and development teams. The company name appears as Trivium Solutions and the firm states operations since 1996. The website references recognition within Israel, indicating a headquarters country of Israel. Client references and project descriptions indicate work with international organisations, suggesting delivery of services to clients outside the headquarters country.

Services and capabilities

• IoT systems development: embedded software for edge devices (RTOS, Embedded Linux, C/C++), device-to-cloud integration, network protocol implementation (MQTT, CoAP, HTTP) and device security.
• Cloud platforms and backend systems: cloud-native application development and deployment on AWS, Azure and Google Cloud, including scalable architectures, data handling, and cloud services selection.
• Web and mobile application development: backend development using Python and Node.js, frontend development with React and Angular, and mobile front-end implementations.
• Machine learning and AI integration: development and integration of machine learning models and generative AI components using Python, PyTorch, LangChain, OpenAI GPT API and vector databases for application features.
• Infrastructure as Code and DevOps delivery: infrastructure provisioning and automation using CloudFormation and Terraform, CI/CD pipelines and cloud automation.
• Security and systems engineering: firmware and platform-level security work, analysis of security assessments, and practices for system stability such as watchdogs and crash-dump handling.
• Data analytics and marketplace platforms: design and implementation of data processing pipelines, analytics components and cloud-hosted marketplaces for media content.

Industry focus

• Telecommunications: development of software and embedded components relevant to networked devices and IoT services.
• Automotive: analysis and software work related to automotive security and embedded systems, as referenced in published analysis of automotive assessment.
• Medical: provision of tailored software solutions for medical industry use cases (development and integration of embedded, cloud and data systems).
• Cybersecurity: implementation of security features in firmware and platform software and review of security assessments.

Technology and delivery approach

Work is executed through systems integration, platform development and automation. Recurring technical themes include embedded systems engineering (RTOS, Embedded Linux, C/C++), cloud-native architectures on AWS/Azure/GCP, network protocol implementation (MQTT, CoAP, HTTP), backend APIs in Python and Node.js, front-end work in React and Angular, and infrastructure provisioning using CloudFormation and Terraform. Machine learning and generative AI components are implemented using Python frameworks and tools such as PyTorch, LangChain and OpenAI GPT API together with vector databases for retrieval. Delivery practices include scalable cloud deployments, CI/CD and automation, and publication of technical resources including an open-source Linux hardware emulator module.