FoxTorque diagnoses any household fault from a photo, then puts the job out to vetted local pros who bid for it. Uber, for everything that breaks at home.
Likely cause. The brass nut on the drain has worked loose and the olive is worn.
Right now. Close the stopcock and put a bowl under the joint.
Fix. Tighten the nut a quarter turn. Still dripping? The olive needs replacing.
Existing marketplaces start with a search box and a form. FoxTorque starts with a photo, so the customer never has to know what a compression joint is.
Probable cause, severity, immediate safety steps, and a DIY route when one exists. Built on Claude's vision models.
The diagnosis travels with the request, so offers are priced on the actual fault. Fewer call-outs, fewer surprises.
Identity and trade checks on every pro. Payment is held until the customer confirms the job is done.

One app, from the first photo to the last invoice. For the household that needs a leak fixed tonight, and for the company that needs a hundred of them tracked.
Something broke. Photograph it, get offers from nearby pros within minutes, pick one, and track them to your door.
Not sure what is wrong, or whether it is urgent? The AI tells you the likely cause, how serious it is, and what to do right now. Free, no booking needed.
Plan the bathroom fan, the new socket, or the loose railing for a day that suits you. Fixed price agreed up front, pro confirmed in advance.
Cleaning, boiler checks, gutter clearing, seasonal maintenance. Set a rhythm once and the same trusted pro comes back on schedule.
Your QC lead walks the site with the app. Every defect is one photo. FoxTorque classifies it, assigns it to the responsible trade, and that team gets a notification with the location and the fix. The site manager watches the list go down.
A tenant photographs the dripping tap and sends the request. The landlord sees the diagnosis and the expected cost, approves with one tap, and the repair runs through the normal FoxTorque flow. Every job is documented against the unit.
People who work on AI expect skilled trades to be among the last jobs it replaces, and among the first to see more demand because of it. FoxTorque is meant to support that sector: more work reaching tradespeople, with less time lost on quoting, scheduling, and chasing payment.
I'd say it's going to be a long time before it's as good at physical manipulation. So a good bet would be to be a plumber.
If you're an electrician, you're a plumber, a carpenter, we're going to need hundreds of thousands of them to build all of these factories.
Further reading: Financial Times, reprinted in the Australian Financial Review, March 2026, on trades as a career choice in an AI economy.
Home repair and maintenance is one of the largest consumer categories on earth, and most of it is still booked by word of mouth and local directories.
UAE and Saudi Arabia: Deep Market Insights, 2025, covering repair and maintenance, cleaning, landscaping, and installation. No comparable figure is published for Qatar, Kuwait, or Bahrain. Their values are estimates, scaling each country's 2025 GDP by the ratio of home services spend to GDP in the UAE and Saudi Arabia combined, about 0.8%.
Five years at 11% a year adds a trillion dollars of annual spend to the pool.
Sources and caveats: analyst estimates for this category differ by several multiples depending on scope. The $1.5T base is a rounded midpoint of the broad-market figures from Technavio and Verified Market Research; the US figure is from IBISWorld. Change the base in the calculator below to stress-test the case.
FoxTorque takes 15% of every order. Move the sliders to see how revenue responds to share, take rate, and the size of the market you believe in.
Illustrative figures. The diagnosis costs cents, the job is priced on a known fault, and the fee is split between customer and pro the way ride-hailing does it.
Today's marketplaces all do one thing well: connect you to handymen. Then they step back, and both sides are left to describe, quote, haggle, schedule, pay, and hope. FoxTorque runs the whole chain inside one app.
Every hand-off is a place to lose them. Describing a fault you do not understand, waiting for callbacks, and paying blind are the reasons most repairs still go through a friend of a friend.
Lead-gen models charge per lead whether or not it converts, and send jobs that are not scoped. A pre-diagnosed, fixed-price job with payment secured is worth bidding on.
The full deck, the financial model, and a hands-on demo of the Android build are one email away.