Research
Questions we are studying, and how far each has got.
Research at Ramerion starts with practical questions from engineering work, and from longer-term problems in space, finance and quantum technology. Some of it informs our products. None of it is a product, and each page says how mature the work is.
See the research areasObserve
Start from the real drawing, site or workflow — including what is messy or missing.
Frame
Name the constraints: standards, data quality, who reviews and signs off.
Build & review
Make a system whose output a qualified person can inspect, correct and approve.
01Research areas
Four areas, each with its own page and stated limits.
- Exploratory researchSpace Sustainability & Orbital DebrisOrbital data, collision-risk decision support and, in the longer term, more autonomous space operations.Guiding questionHow can operators see and weigh collision risk more clearly, without software taking the decision?Read about this area
- Exploratory researchQuantum TechnologiesWhat quantum sensing, computing and communication can and cannot do today, and what evidence would change that.Guiding questionWhich quantum claims survive a fair comparison with classical methods?Read about this area
- Exploratory researchFintech & Financial RiskDocument intelligence, anomaly detection and risk analysis, with explainability, privacy and validation built in.Guiding questionHow can AI help financial analysis while staying explainable and auditable?Read about this area
- Exploratory researchQuantum in Engineering & RiskUncertainty, maintenance risk and optimisation in mechanical and structural engineering, with quantum methods held to classical baselines.Guiding questionWhere, if anywhere, does a quantum method beat the best classical one on an engineering problem?Read about this area
Green technology is now a service. Agritech, environmental monitoring and climate work are offered as Green Technology & Climate Solutions. The underlying research framework remains at Agritech, Nature & Environment.
02Philosophy
How we run research.
Four rules that apply to every research area, whether or not it ever becomes part of a product.
Start from the real constraint
The drawing as it actually arrives, the standard that applies, the person who has to sign off.
Make results inspectable
A system that cannot show how it reached an answer is not ready for engineering use. We favour outputs a qualified reviewer can trace, check and correct.
Be precise about maturity
Exploratory ideas are labelled as exploratory until there is evidence otherwise. Nothing becomes a product claim because it worked once.
Prefer useful over impressive
The test is whether an engineer, operator or grower would choose to use it on an ordinary working day.
03Where the work sits
Products and research, kept clearly apart.
Our engineering software products and scoped services are what we offer today. Research is where questions are explored before anyone calls them features. On this page, the dashed outline marks work that is still exploratory.
Exploratory work
Exploratory research- Research areasSpace, quantum, fintech, engineering and risk
- Engineering automation and applied AIThe themes that inform the products
Products and concepts
- ForglineProductGeneral drawing intelligence for P&ID, general arrangement and mechanical assembly drawings — from PDF sheets to 3D models with asset information attached.
- Steel Structure IntelligenceProductFrom structural PDF drawings to a 3D steel model and fabrication-oriented deliverables such as BOM, BOQ and drawings.
- AI BoxConceptA private AI deployment concept, not one of the two engineering products. Scope would be defined with each organisation during technical discovery.
Research informs product work only when there is evidence that it is useful, and reliable enough for engineering use under human review.
04Engineering research themes
Questions behind our engineering work.
Closer to the products than the areas above, each theme is framed as the question we are trying to answer.
Drawing understanding
How can symbols, line types, annotations and title-block information in engineering PDFs be interpreted reliably — and how should uncertainty be shown to the person reviewing it?
Relates toBoth engineering products
Exploratory researchGeometry and model reconstruction
How do 2D views become consistent 3D geometry for piping, equipment and steel members, while every element keeps a trace back to its source sheet?
Relates toBoth engineering products
Exploratory researchConnected engineering data
How should model components carry materials, identifiers, design data and maintenance information so that it survives the handoff from design to operations?
Relates toForgline
Exploratory researchHuman-in-the-loop review
What does a review workflow look like when engineers can see, correct and approve what software has proposed — rather than accept or reject it wholesale?
Relates toEngineering workflows
Exploratory researchApplied AI close to the data
Where can AI assistance genuinely help with engineering documentation, and what does it take to run that assistance inside an organisation's chosen environment?
Relates toAI Box
Exploratory research
Researchers, students & collaborators
Curious about hard engineering problems? Talk to us.
Whether you want to apply, propose a collaboration or compare notes on a problem you know well, we would like to hear from you.