Krydus Software Engineering

Full-Stack Software Development, Systems Architecture, and Distributed Computing

Krydus Software Engineering

Krydus Software Engineering is the process of analyzing user needs and designing, constructing, and testing end-user applications that will satisfy these needs through the use of software programming languages. It is the application of engineering principles to software development. In contrast to simple programming, software engineering is used for larger and more complex software systems, which are used as critical systems for businesses and organizations.

Full-Stack Software Development

To accomplish your vision, we start with requirements based on the needs of your end user and our head-start framework, not with a pre-packaged system. From that point, we build software to accomplish your vision that functions across many different platforms, and then run the system through real-world scenario testing. We then help you prepare for and manage all aspects of successful implementation. We continue advancing your system through ongoing support & evolution services tailored to your needs.

System Architecture

As the initial step in systems integration, Krydus consultants will perform systems architecture planning across all on-premise or cloud systems, database marketing and customer applications and databases that touch your customers, across all customer-facing business functions.

Distributed Computing

Concepts of distributed computing impact networking from the application layer to the physical layer, from cloud servers in the core network to sensors in wireless edge networks. Krydus works on foundational aspects of distributed computing, with particular focus on fault-tolerance, security, and timeliness properties. Formal methods are used to specify and verify designs, often with component-based reasoning. Self-stabilization and other self-* designs are studied for dynamic and/or mobile networks. And scalability of distributed algorithms, both in terms of limits and feasibility is addressed.


  • Low SWAP Environments
  • Embedded Hardware Integration
  • Watchdog Processes
  • Delay Tolerant Networking
  • Software Defined Networking
  • Nvidia Jetson/Nano Platform
  • Machine Learning Edge Solutions