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ROI Model Documentation
Methodology Guide

Financial Grade
Industrial ROI Modeling

Most ROI tools are simple estimators. Donau Labs provides a high-fidelity simulation engine designed for high-stakes engineering environments where compliance, complexity, and long-term terminal wealth matter.

The Intent

Our model is built to move past "gut feeling" engineering projects. It provides CTOs and VPs of Engineering with a defensible, data-driven framework to justify investments in automation, compliance systems, and process optimization.

The Audience

Designed specifically for Industrial Engineering, Software Development for embedded systems, and highly regulated industries (ISO 26262, ASPICE) where efficiency gains must be balanced against rigorous process execution.

How to use the tool

01

Define Baseline

Start by entering your current headcount, hourly rates, and current efficiency. This creates the 'Pre-Donau' cost baseline.

02

Configure Value Realization

Select your adoption model (Linear or Tiered). Real ROI is not instant; software and systems take time to ramp up to full efficiency.

03

Map Cost Structure

Separate your CAPEX (one-time investment) from your OPEX (annual recurring cloud/maintenance costs) for terminal accuracy.

04

Analyze Scenarios

Toggle between horizons (1Y, 3Y, 10Y) to see when you break even and how much terminal wealth is generated.

Key Metrics Explained

Efficiency Delta

The percentage increase in process output relative to the baseline. This is the primary driver of 'Reclaimed Liquidity'.

Break-Even Month

The precise moment in your timeline when cumulative savings exceed the initial one-time investment.

Terminal Wealth

Total net savings after 10 years, accounting for inflation-adjusted recurring costs and continuous process gains.

Adoption Ramp-up

Calculates ROI based on the 'learning curve'. Tiered adoption models are more conservative and accurate for industrial teams.

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