Is Simuate an AI or LLM tool?
No. A language model never computes the outcome — the math is a certified model with fixed, checked relationships. Language can help describe a scenario, but it can’t hallucinate the numbers. That’s the whole point of the
certification gate.
Is it a forecast of my specific company?
No. It builds a coherent model of a business at your scale — not a copy of your P&L. The numbers are representative of a business like yours, not pulled from your books. Calibrating to your actual numbers is on the roadmap, behind the industry layer.
What can I use it for today?
Training judgment — leadership development, business schools, and teams learning to decide under pressure. Assessment (probing how someone decides) and the strategy lens (stress-testing a specific move) are next on the roadmap, not available yet.
What actually makes it different from other business simulations?
Two things. First, decisions aren’t mechanical — Simuate runs a rigorous numbers engine
and an interpretive leadership engine, bridged, so a run feels like a real decision rather than a calculator. Second, the
guarantee: every simulation is certified coherent, fair, and winnable before it ships.
More on the approach →
Can you model my industry, or my specific company?
Today the engine models the universal core every business shares — the financial spine and economic engine. Industry-specific physics is what we’re building next; modeling your specific company comes after that, on top of the industry layer. We sequence it that way because each layer genuinely depends on the one beneath it.
See the layers →
How fast is a model built?
Minutes. You describe the business and the engine composes a coherent model on demand — no long build cycle before you can start.
How do I know a given simulation is fair?
Every simulation clears a certification gate before it exists: the books reconcile each round, it’s scaled exactly to size, there’s no single-lever exploit, and every target is provably winnable.
Here’s exactly what that means →
Is my data used?
Your inputs describe the scenario and its scale. The resulting model is representative of that scale — it is not a calibrated copy of your books, and it isn’t a forecast of your real outcomes.
Who is it for?
Today: corporate L&D and leadership development, business schools, and teams who want to build judgment. Assessment and strategy buyers are on the near roadmap as those uses come online.
How do I get access?