Applied AI research
Explore how AI can support useful decisions. Develop prototypes and evaluate their behaviour against the problem they are intended to solve.
We develop AI, cybersecurity, software and automation solutions for real-world challenges. From early research to working prototypes, we connect technical insight with practical engineering.
We connect research with development, keeping real users, operating constraints and testable outcomes in view.
Explore how AI can support useful decisions. Develop prototypes and evaluate their behaviour against the problem they are intended to solve.
Investigate threats and privacy risks in connected systems. Design and assess approaches that help protect data, devices and their users.
Bring hardware and software together. Build integrations, investigate communication and develop engineering tools for practical workflows.
Design and develop applications that support real work. Turn requirements into desktop tools, web applications and integrations, with attention to usability, maintainability and testing.
Explore opportunities to reduce repetitive work and connect fragmented processes. Develop workflow and data-processing automation, applying AI where it adds a clear, testable benefit.
GridEla brings electrical drawings, equipment information, test documentation and commissioning schedules into a desktop workspace.
Manage user accounts, test instruments, calibration records, activity logs and settings.
Organise projects, configure equipment, develop electrical drawings, attach test evidence and plan commissioning tasks.
Current scope: a local desktop application. Automatic multi-computer synchronisation is not included in the evaluated version. Suitability for a particular engineering workflow should be assessed through testing.
We work from a clear question towards a practical result. Research informs the design; testing informs what happens next.
We welcome conversations with engineering teams, research partners and organisations exploring an early-stage technical idea.
Start a conversation ↗Understand the intended users, technical environment and constraints. Agree what a useful outcome would look like.
Investigate the approach and develop a focused prototype, integration or engineering tool.
Evaluate behaviour, identify limitations and use the evidence to guide the next stage of development.
Chathuranga is a researcher and engineer working across artificial intelligence, cybersecurity and embedded systems. His research explores privacy in connected environments, including cyber-physical systems, smart homes and wireless devices.
Alongside academic research, he works on hardware and software integration and industry-focused cybersecurity projects. At cyberionlabs, he brings these interests together to develop practical technology informed by research and testing.
Kalwane is a data analyst with a Master of Science in Artificial Intelligence from the University of Aberdeen. His experience spans data analysis, biomedical science and software engineering, bringing a multidisciplinary perspective to technical problems.
He combines his grounding in AI with experience across scientific and software contexts. At cyberionlabs, he contributes this perspective to work involving data, analytical methods and software development, with an interest in turning complex information into useful insights.
Tell us about your research question, software requirement or engineering challenge. For GridEla, let us know which part of your commissioning workflow you would like to explore.
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