CostSquared Home Cost Intelligence

About

The home improvement industry runs on information asymmetry. We're closing it.

A roofer replaces roofs every week. You replace one twice in your life. That gap — not dishonesty — is why homeowners overpay. CostSquared exists to close it.

Our mission

Give every homeowner the same information their contractor has — what the work actually costs, what the materials actually cost, and what a fair price looks like where they live. Before the conversation, not after.

Transparency promise

We never simulate reality when we can transparently communicate what the system actually knows. No invented activity feeds, no fabricated confidence percentages, no fake review counts. If a number isn't real yet, we don't show it.

Values

Three rules we don't break

We show our sources

Labor comes from published government wage data. Materials come from tracked supplier prices. If we can't cite it, we don't publish it.

We don't sell roofs

We have no contractor arm and no incentive for your project to cost more. Our estimates would be worthless if we did.

We show the geometry

Your roof is not your floor plan. We apply the true pitch multiplier \u2014 the secant of the roof angle \u2014 so the area we price is the area you actually have.

How it works

How an estimate is built

Four inputs, one number, every step documented.

Your measurements

Footprint, pitch and shape → true roof area

Your state

BLS wage data → labor per square

Your material

Tracked supplier prices

Your options

Tear-off, permit, disposal, ventilation

The cost engine

Pitch multiplier (sec of angle) → roof area → squares → materials × waste + labor × complexity + add-ons + permit

See the formulas →

Your estimate

$11,240 – $13,830

With the data quality shown

Sources · confidence · last updated

And a quote grader

Is the bid you got fair?

Meet the platform

There's no sales team. There are four data systems.

Government data

Published BLS occupational wage data sets the labor rate for your state — the single biggest variable in any quote.

BLS OES data →

Real roof geometry

We convert the footprint and pitch you enter into true roof surface area using the exact secant of the roof angle \u2014 no approximations, no fudge factors.

BLS wage data →

Material database

Supplier pricing for every material and quality tier, refreshed monthly and stamped with its update date.

AI quote analysis

Grades a contractor bid against your local range and scans the terms for the eight things that cost homeowners money.

Timeline

How we got here

  1. 2026 · Q1

    The problem

    Three roofing quotes for the same house came back $8,900, $12,850 and $18,200. Nobody could explain why. That gap is the entire product.

  2. 2026 · Q2

    The data engine

    Built the cost engine on published BLS wage data and tracked material prices — with every formula public.

  3. 2026 \u00b7 Q3

    Roofing launch

    Fifteen calculators, the full cost engine, and the AI Quote Decoder \u2014 roofing only, done properly.

Roadmap

What's next

Permit price database

Real prices seeded from public building-permit records — always labelled as permit-derived, never presented as user activity.

Next

Windows & siding

The second and third categories. Each launches only when its data passes the same bar as roofing.

2026

Plumbing & HVAC

Where the surprise bills live. Requires a different labor model — worth doing slowly.

2027

Open API

The cost engine, available to anyone building something honest with it.

Later

How we make money

Plainly, because you deserve to know: advertising on our guide pages, an optional paid plan for homeowners who want project tracking, and referral fees when you choose to request contractor quotes.

What we never do: change an estimate because a partner would prefer a bigger number, sell your details to lead brokers, or put a lending CTA in front of someone who just told us they can't afford a roof.

Read the methodology

Every formula, every data source, every assumption — published in full. If you find something wrong, tell us and we'll fix it.

Open Methodology →

Corrections: hello@costsquared.com