The Machine Learning Partner for Industry
We help organisations across energy, engineering, and transport become AI-enabled in their digital transformation journey, by combining solution engineering, all-stages training, and the twinLab machine learning platform.
Industry’s leading engineering teams trust digiLab
The twinLab platform contains powerful modules for end-to-end ML workflows
- Predict
Predict unseen scenarios
- Recommend
Optimise your sampling
- Calibrate
Connect models and data
- Automate
Query and understand your data
The twinLab platform scales from limited to complex data
- Leverage existing knowledge and expert opinion
- Quantify uncertainty in mission-critical systems
- Integrate physical and engineering constraints
Our solution engineers understand your data challenges
- We meet you where you are with data, whether you haven’t yet started collecting, or have decades of analysis to explore
- We speak your language, utilising in-house domain experts
- We work in sprints to accelerate time-to-value, and support your teams towards self-managed deployment
Dr Andy Corbett
Head of Research and Development
Dr Ross Allen
Solution Engineer
Dr Dorothea Seiler Vellame
Data Scientist
Dr Mikkel Lykkgaard
Principal Scientist
Michelle Fabienne Bieger
Software Engineer
Dr Nikolaos Papadimas
Machine Learning Scientist
“digiLab built a digital twin of the ATCO environment within three months by combining the best in modern software development practice, unique capabilities in probabilistic modelling, and a deep domain understanding of airspace management.”
“A lot of SMEs are specialising in AI and data science, but digiLab is the only one we know of built around state-of-the-art methods of uncertainty quantification.”
“digiLab’s innovative approach to using the data from cutting-edge sensors enabled us to discover how Machine Learning can gain us energy and cost savings, whilst also driving efficiency and water quality. ”