Every demo below is a full costing model running in your browser: Traditional allocation, Activity-Based Costing and Time-Driven ABC computed side by side from the same embedded dataset. Move a filter and all three engines recalculate. No slides, no screenshots.
The same analytical spine that a CostCtrl engagement builds on your data, loaded here with a fictional company so you can push it around freely.
Three engines allocate the same cost pool from the same ledger and disagree about who caused it. The gaps, sign flips and rank moves are the point: they are what your current numbers hide.
Customers, products or business units sorted by true profitability and accumulated. A few carry everyone else; the tail quietly gives profit back. Kaplan's Kanthal case made it famous.
TDABC prices only the minutes actually consumed and reports unused capacity as its own line, per resource group, per month, instead of smearing it into every rate.
A deterministic assistant that computes answers live from the model on the page: cost per unit, what-ifs, worst accounts. It is not a chatbot guessing; it is the model talking.
Each demo is a self-contained fictional company with industry-true time equations, seasonality and behaviour. Same engine, different physics.
The engine is industry-agnostic: resource groups, time equations, whale curve, capacity. Professional services, banking operations, ports and utilities all map onto the same spine.
Ask us about yours →The demos run on invented companies. Your version runs on your exports: general ledger by cost centre, payroll or headcount, and the transactional files you already have (invoice registers, ticket dumps, shipment logs, order lines, SAF-T). CostCtrl reads CSV and SAF-T uploads directly; there is no ERP surgery and no 40-activity interview marathon.
A working model with your own whale curve, capacity cost and consumption statements typically takes 3 to 6 weeks, not the 6 to 18 months of a classic ABC project.
Book 30 minutes and we will walk one demo together, then scope what a pilot on your data looks like. Or start with the 10-minute profitability health check.