ExpenseIntel / Cost LabModeled decision intelligence · transparent assumptions · no fake precision
EIExpenseIntel
Decision PassportTrueCostProject IntelEvidenceCost Lab
Four engines / one commitment

Know the cost beneath the price.

Enter what you know. ExpenseIntel fills the missing cost layers with transparent modeled assumptions, shows a credible range, compares the alternatives, and tells you which variable can hurt the decision most.

This is not another calculator.

The Cost Lab is designed to expose the parts of a commitment people usually discover after they buy: carrying burden, soft costs, recurring expenses, overruns, financing, exit friction and sensitivity to shocks.

Default outputs are modeled, not quotes
01 / Automatic Cost Twin

Turn one price into the future receipt.

Give ExpenseIntel a price, category and location. It automatically creates a five-layer cost model, then shows the burden most people leave out of the first conversation.

Defaults are category-level modeled assumptions. The output is a planning range—not a lender quote, tax determination, insurance quote or contractor bid.
02 / What Should This Cost?

Start with the job, not the seller's number.

Choose a common project and size. ExpenseIntel builds a low / typical / high benchmark, adjusts for location and complexity, then shows which cost buckets usually dominate.

Benchmarks are illustrative national planning baselines intended to start diligence. Real bids can vary materially by scope, site, permits, labor availability and exclusions.
03 / ExpenseIntel Compare

Compare the burden, not the sticker.

Two decisions can have the same price and completely different economics. Compare upfront cost, recurring burden, financing and expected recovery over one horizon.

04 / Cost Shock Simulator

Find the variable that can break the deal.

Set a base commitment and stress the assumptions. ExpenseIntel ranks the downside by dollar impact so you know which quote, rate or contingency deserves attention first.

Method / 01

Assumptions stay visible.

Every automated output is labeled modeled. ExpenseIntel shows the cost layers and lets the user replace the defaults instead of burying them behind one confident number.

Method / 02

Ranges before precision.

Project benchmarks use low, typical and high bands. A range is more useful than false precision when the exact scope, site or quote is not yet known.

Method / 03

Decision impact first.

The Compare and Shock engines rank the variables by how much they change the economics. The goal is not more data; it is knowing what deserves the next call.