Plumbing

Years of plumbing calls, finally paying you twice.

Emergency calls, callbacks, and the notes that explain what really went wrong are exactly what AI models are missing.

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What buyers want

Records you already keep.

Job tickets

What the customer described versus what the plumber found.

Call and intake notes

How urgent calls get triaged over the phone.

Estimates and line items

How jobs are scoped, from drain clears to repipes.

Callback and warranty notes

What went wrong the first time and how it was fixed.

Dispatch records

Scheduling, routing, and emergency prioritization.

What it trains

Real plumbing work, taught to AI.

  • Intake agents that sort emergencies from routine calls
  • Tools that predict job length and parts needed
  • Assistants that help customers describe problems accurately

What we remove

Private stays private.

  • Customer names, addresses, and phone numbers
  • Payment details
  • Staff names
  • Anything else you flag

FAQ

Plumbing questions

How much history do I need?

More is better, but a couple of years of consistent job records is often enough to start.

What if our notes are short or messy?

That's normal. Real-world, unpolished notes are part of what makes the data useful.

Does this take time from my team?

Very little. We handle cleanup and redaction. You review and approve.

See what your plumbing data is worth.

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