Systems Engineering Services

Engineering support across embedded systems & IoT, PCB and electronics, software, geospatial systems, and AI/ML automation.


Embedded Systems & IoT

Firmware and connected device development for sensor nodes, test equipment, and edge products, combined with electronics engineering across embedded systems, IoT, circuit design, PCB development, and instrumentation. The focus is on practical design, rapid prototyping, validation, and clear technical documentation, with close integration between hardware and software.

  • Schematic capture and PCB layout
  • Embedded systems and IoT (MCU-based designs)
  • Firmware and test software development
  • Prototyping, bring-up, debugging, and validation
  • Design documentation and manufacturing handover
Tutorials Design Guides

Software Engineering

Design and implementation of software systems — automation tools, real-time data services, desktop utilities, and web services—using Python, C#, C/C++, and JavaScript.

  • Modular, testable architectures
  • Integration with existing systems and APIs
  • Technical documentation and handover
See What We’ve Done

AI / Machine Learning Automation

Custom machine-learning workflows for quality control, detection, categorization, dimensioning, process optimization etc.

  • Design, training and prototyping
  • Integration into existing pipelines
  • Monitoring and performance tuning
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Geospatial & Hydrographic Systems

Design and implementation of real-time and batch data-processing pipelines for offshore and onshore survey operations, including onboard hydrographic data processing, multi-sensor integration and WMS-based project data portals with advanced visualization.

  • Real-time and batch pipelines for survey data
  • GIS and WMS integration (QGIS, MapServer, PostGIS etc.)
  • Automated quality control, go/no-go indicators and serving workflows
See What We’ve Done

Engagement Model

Projects are typically structured around a clearly defined technical scope, with agreed deliverables, milestones, and validation criteria.

Work can be carried out as targeted engineering support, development of specific components or systems, or contribution to existing teams and pipelines.

Deliverables include working systems, source code, design files, and technical documentation appropriate for maintenance and further development.