Per-record sensitivity propagation. Compounds across multi-client engagement work.
bench · sensitivity →The compile layer
the category runs on.
Typed drivers, recomputable models, audit-trailed exports across your entire engagement roster. Your client pays you for the model that gets the round closed. Compile faster, audit cleaner, ship more clients per month.
Largest validated DAG. Whatever your client throws at you fits.
bench · scale →Institutional Excel-export rubric. Six-sheet structure, named ranges, blue inputs / black formulas, every export.
rubric · public →Same IR always produces same outputs. Audit-defensible against any skeptical board.
determinism →A sensitivity sweep across 50 drivers counts as ONE billable compile. Templated multi-client work compounds cleanly inside the metered tier.
metered pricing →Average client model fits in the free tier. Metered overage only on the heavy ones.
pricing detail →=D7-D8 [ EBITDA = Gross_profit − Opex ]An IDE moment for the
consulting analyst.
Intake
Your compile contributes to the live system heartbeat. Anonymized: no model contents, names, or assumptions leave your browser.
One template, four clients, one afternoon. Look at the two in signal-orange: the same compile caught a flagged assertion at Northwind and two at Helios, risks you would otherwise have hunted for by hand. Each client still gets its own 100/100 Excel and its own audit trail, and your $250/hour rate compresses from eight hours per client to ninety minutes. The leverage is the throughput; the moat is that nothing ships unaudited.
Founders compile their own models.
Your clients can use the same engine in their own AI chat, without bypassing you. You stay the orchestrator and quality bar.
Embed the engine.
If your consulting firm grows into a product (white-label tooling for clients, internal IDE), Flatland sits underneath.
The MCP tool catalog.
Every Flatland tool, with schemas, examples, return shapes. If you build your own agent for client work.
Bill the same.
Deliver more.


