Asset Mechanics

About Asset Mechanics

Asset Mechanics helps organisations make better decisions under uncertainty.

We help public-sector, infrastructure and financial organisations improve estimates and risk decisions with AI/ML-enhanced Reference Class Forecasting, using comparable cases, macroeconomic context and explainable AI to make key drivers visible.

Especially where poor estimates and downside risk carry real consequences.

Our approach brings the outside view into risk decisions through reference-class evidence, quantitative modelling and out-of-sample validation.

Using explainable AI, we identify which comparable cases, macroeconomic context and underlying drivers matter most.

This helps clients move beyond subjective assumptions and produce more transparent, more robust and more defensible risk assessments that reflect project and macroeconomic context.

We support use cases such as: • improving cost and risk estimates for large projects • assessing land development risk • analysing interest rate and inflation risk • context-driven forecasting for public decision making

We also publish transparent model documentation and validation material to clarify assumptions, limitations and observed performance.

Get in touch to explore whether this can improve your estimates or risk process: info@assetmechanics.org

Keywords

• Ai
• Data Science
• Financial Risk
• Machine Learning
• Reference Class Forecasting

Address

• Headquarters

  AmsterdamNoord-Holland, Netherlands

Team by function

Based on 1 public job profiles as of 4 September 2026.

• Consulting / Advisory1