What we aren't

Four things people assume about us that aren't true.

What it looks like

Another company bolting a chatbot onto spreadsheets and calling it AI.

What's actually true

We use large language models for ingestion and narration, turning a simulation into a written brief. The number underneath comes from a structural model with its own balance sheets and behavioral equations, not a language model's best guess.

What it looks like

A dashboard with more charts than the last one.

What's actually true

A dashboard shows what already happened. This lets you change an assumption and trace the consequences through 115 industries, or 51 states, in the time it takes to read the result.

What it looks like

A consultancy that delivers a report and moves on to the next client.

What's actually true

Consulting that doesn't expire. The model we build for an engagement doesn't get archived when the invoice clears. Clients keep querying it, long after the report is delivered.

What it looks like

A black box that spits out numbers you're supposed to trust.

What's actually true

Every mechanism is certified against a registered prediction before it is switched on, and every solved year passes accounting checks that hold stored positions to within one part in a million. Baselines are built on the CBO, Treasury and OECD outlooks. When our China model's current account surplus overshot the World Bank's projection, we rebuilt the baseline until it matched. The calibration constants and their sources are published on the model page.