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Use cases

Pick your Monday.

A runtime is hard to explain and easy to recognize. These are the mornings Grid was built for — the model you already maintain across four tools, rebuilt as one.

Treasury & riskClose the risk book while the market is open.

Live FX, revalued positions, VaR bands — one model, computing continuously.

@TreasuryEnergy & storageDispatch models that show their work.

Tariffs, unit-safe energy math, and the dispatch optimizer in one auditable model.

EnergyPlanning & logisticsThe schedule, the routes, and the reasons.

Scheduling, routing, and MRP as one resident model with honest solve statuses.

POperationsResearch & scienceA lab notebook that computes exactly.

Exact algebra, ODEs, and statistics in the same reactive cells as the narrative.

ScienceReal estateUnderwriting that survives diligence.

NOI, cap rates, DSCR, and loan sizing as kind-checked, explainable formulas.

Real estateConstructionFrom takeoff to earned value.

Quantities, bids, contingency, and live earned value in one reactive model.

PPConstructionHealthcare opsClinical math with a signature.

eGFR, clearance, and dosing as validated, explainable formulas with alert rules.

HealthcareCivic & electionsElections you can recount.

Apportionment and forecasts as audited, seeded models anyone can rerun.

Civic

It's a platform. That's the hard part.

Explaining a runtime in the abstract is like explaining Java to an Excel user. So we don't: each page above is the runtime instantiated for one job — real syntax, shipped capabilities, honest statuses.

Your Monday isn't here yet? The engine probably still speaks it — see the full breadth on the replaces page, or the function catalog.

The breadthEverything it replaces