Asset Mechanics

Over 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

Trefwoorden

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

Adres

• Hoofdkantoor

  AmsterdamNoord-Holland, Nederland

Team per functiegebied

Gebaseerd op 1 openbare functieprofielen, stand van 3 september 2026.

• Consulting / Advisory1