Our Services
Systems Development
Engineering systems and software across the full stack, from mechanical design and hardware control, to production cloud infrastructure. Experience building novel physical systems and the software around them.
Mechanical Engineering
Design and build of novel physical systems. Laser platforms, additive manufacturing machines, precision motion and optical assemblies. Hands-on experience taking hardware from concept through to production
Software Engineering
Production backend software across embedded, desktop, and cloud environments. From machine controllers to computer vision to distributed SaaS systems.
Systems Integration
Where hardware meets software is where most projects struggle. Experience on both sides means designing systems where the physical and digital constraints are understood from the start, not bolted together at the end.
Technical Advisory
Available to founders and investors who need a technically credible second opinion. Particularly useful for companies where the core technology spans hardware and software.
Due Diligence
Technical assessment of early-stage companies for investors. Evaluating whether the engineering is credible, the IP defensible, and the team capable of delivering.
Architecture & Strategy
Working with founding teams on technical architecture decisions, build-vs-buy tradeoffs, and engineering roadmap prioritisation.
Hardware-Software Integration
Practical guidance on connecting physical systems to modern software infrastructure; control systems, data pipelines, and production deployment.
Data Engineering & Analytics
Engineering data is different from business data - it's high-frequency, sensor-derived, and the domain context matters enormously for interpreting it correctly. Work includes data infrastructure, ML model development, and process analytics for manufacturing environments.
Data Systems Architecture
Design and implementation of robust data pipelines and storage solutions optimised for engineering and manufacturing environments.
ML & Predictive Modelling
Model development for quality prediction, process optimisation, and anomaly detection. Experience building and deploying ML systems in a manufacturing context.
Data Analysis & Visualisation
Statistical analysis and visualisation for experimental and process data, including DOE analysis and regression modelling for parameter optimisation.
Have a problem that doesn't fit neatly into one discipline?
Whether you're building something technically ambitious or need a credible assessment of something you're investing in, get in touch.
Get in Touch