Systems, software and data management

Our system engineering team adopts a multidisciplinary and integrative approach to the design, development, and management of complex systems. From concept through implementation and lifecycle management, we apply system engineering principles to deliver innovative, scalable solutions that enhance performance, reliability, and sustainability, and are tailored to the unique needs of each project.

Our services include:

• Stakeholder needs elicitation
• ConOps authorship
• Requirements definition and management
• Concept exploration and selection
• System architecture definition
• Change management/change propagation
• Business analysis
• Operational design
• Verification and validation plans
• Functional safety / RAMS program development and engineering

Our systems integration service ensures seamless coordination between diverse subsystems, technologies, and software, resulting in cohesive, high-performing solutions.
System integration is used when we want to unlock capabilities using functionality that are mostly available through existing software systems.

By effectively managing the complexities of integrating various components, we facilitate efficient communication, functionality, and data flow across systems.

Our services include:

• Scope definition and integration planning
• Analyzing business capabilities and constraints
• Assessing IT infrastructure capacities and limitations
• Designing data flow and transformation processes between integrated systems
• Developing cohesive, integrated system level architectures
• Managing and designing interfaces
• Engineering the optimal technologies for integration
• Developing integration, verification and validation test strategies
• Planning system cutovers

When done properly, system integration enhances operational efficiency, minimizes errors, improves decision-making through real-time data access, and enables systems to scale as business needs evolve.

Our software development service focuses on creating tailored solutions from the ground up, ensuring innovative, high-performing software applications that meet specific business needs.
Software development is used when we want to create new capabilities by building functionality that does not exist in any current software systems.

By crafting custom applications, we address unique challenges, optimize workflows, and unlock new opportunities for growth and innovation.

Our services include:

• Requirements gathering and analysis
• Designing tailored software architectures
• Building scalable and secure applications
• Designing of user-centric interfaces and experiences
• Developing server-side applications as well as web and mobile applications
• Integrating with other existing systems or tools
• Deploying cloud solutions, hybrid architectures, or on-site infrastructures
• Ensuring data security and compliance
• Managing iterative development cycles using the Agile method or other methodologies
• Implementing and testing software functionality
• Supporting ongoing maintenance and enhancements

When done effectively, Software Development enables businesses to innovate, gain a competitive edge, improve operational performance, and quickly adapt to changing market demands.

Our data management and integration service focuses on the orchestration, large-scale processing, and synchronization of data streams from various systems such as operational systems, IoT devices, and distributed infrastructures.

By combining these data streams with Big Data approaches, we enable fast and accurate decision-making while modeling physical environments in real-time through digital twins.
Data management in this context relies on the ability to capture, analyze, and leverage massive volumes of real-time data. This allows for the unification of event streams from multiple critical sources and the automation of processes, optimizing asset management and enhancing predictive analysis capabilities.

Our services include:

• Database management systems
• Collection and management of massive data from multiple sources, including sensors, control systems, IoT, and real-time field data
• Design of distributed and Big Data architectures to handle and integrate large volumes of data in a scalable manner
• Implementation of real-time data pipelines to manage and process critical events at scale
• Analysis and monitoring of Big Data quality and integrity to ensure decisions are based on reliable information
• Automation of operational processes through real-time event-driven data flows
• Securing and governing massive data, ensuring compliance with cybersecurity standards and regulations
• Optimization of predictive maintenance strategies and asset management through Big Data analytics and digital twins
• Ongoing support for the evolution of distributed data management and Big Data systems

Data management and integration enable companies to better harness Big Data, optimize operational performance, and enhance their decision-making capabilities. This leads to greater efficiency, better problem anticipation, and increased responsiveness to changes in complex and dynamic environments.