Product / Real Estate
Turn project assumptions into investment decisions.
ViabilizAI connects costs, revenue, cash flow, indicators, scenarios, sensitivity, risk and recommendations in one traceable feasibility model.
The problem
The model breaks when its assumptions lose their trace.
Revenue may live in one spreadsheet and costs in another while risk remains undocumented. When an assumption changes, understanding which input moved the result becomes difficult.
The approach
Make every assumption visible.
The product follows the decision process from raw project inputs to financial outcomes, scenarios and risk.
Centralize inputs
Calculate outcomes
Compare scenarios
Surface risk
Support decisions
Current workflow representation
A traceable path from assumptions to decision.
This interface follows the current product structure from project inputs through financial validation and decision support. It does not display results from a real project.
Core capabilities
Financial depth without spreadsheet opacity.
The analytical layer is organized to make assumptions and their consequences easier to inspect.
Project assumptions
Structure the project, land, construction costs and revenue assumptions in one model.
Financial indicators
Derive VGV, profit, margin, ROI, NPV, IRR and payback from the assumptions.
Schedule and cash flow
Connect the physical-financial schedule to monthly project cash flow.
Scenario comparison
Review how different assumptions change the shape of the project.
Sensitivity analysis
Understand which inputs have the greatest influence on the result.
Risk and decision support
Review exposure, financial validation, recommendations and the viability decision.
Current status
In active development
ViabilizAI is being developed as a practical decision-support platform, with current work focused on the feasibility workflow, financial validation and traceable scenario analysis.
Build notes
Every financial outcome must be traceable to its assumptions.
The challenge is not only calculating financial indicators. It is making formulas, assumptions and relationships clear enough that a developer can understand why the result changed.