Research
Research that starts from questions owners actually have
EarthState is an engineering practice with a research character. The platforms grow out of peer-reviewed work on digital twins, laser scanning and structural monitoring; we keep publishing, and we keep testing our methods against independent results.
Themes
What we work on
- Structural digital twins of ageing steel structures
- Drawings and point clouds to analysis-ready models
- Structural health monitoring and model updating
- Storm and climate resilience of overhead lines
- Assurance of AI decisions on physical infrastructure
- Physically consistent synthetic data for world models
Publications and IP
Record
The founder's publications are listed on Google Scholar and on his personal site. EarthState's structural twin method is the subject of UK patent application GB2626083.6 (filed 3 November 2026), patent pending.
Where this goes
A view of the next decade
AI and robots acting on physical infrastructure will need a profession that takes responsibility for their consequences. Physical AI and world models will fuse with infrastructure digital twins. And structures themselves will become agents that sense, decide and adapt.
EarthState is built to be useful now, on the assets owners already have, and ready for that shift.
Partnerships
Working with universities and companies
We join projects where a real asset question meets a research question, and we bring working tools, data pipelines and engineering judgement.
Joint research and innovation proposals
With universities and companies, for UK and European research and innovation programmes, as an industrial or project partner. The three twin platforms can be the testbed that a proposal needs.
Co-authored papers
Results from joint work are published together, with authorship agreed by contribution.
Patents and intellectual property
Background IP stays with its owner. Ownership and licensing of anything new are agreed in writing before the work starts.
Platform access for research
Research partners can use a platform within a project, on their own data, which stays under their control.