One customer, one record, and numbers that finally tie out.

Your customers are scattered across bookings, the POS, the inbox and an old email list, spelled four different ways. We match, correct and merge them into one record each, then keep them clean as new data comes in.

That's our own business line, answered by the same kind of AI agent we build for you. Ask it what we do and how it would work for your business, or ask for a person at any point: you get your answers and hear the product working on the same call.

Booking siteJon Smyth423-555-0142jon.smith@example.com
POSJOHN SMITH4235550142no email
InboxJ. Smith+1 (423) 555 0142john.smith@example.com
Email listjohn smithno phonejon.smith@example.com
JS
John SmithOne record from 4 systems
Phone
(423) 555-0142
Email
john.smith@example.com
History
6 bookings, 9 messages, last visit Oct 12
Reconciled, nothing left to check
9things that don't match
Phone numbers in one format
Name spellings matched
Emails confirmed
Four records merged into one

Example: one customer found in four systems

Where messy data costs you

Duplicates and old details don't look like a problem until a customer gets treated like a stranger.

The same customer three times

A regular calls and looks brand new, because their history is split across three records under three spellings.

What we doOne record per customer, so the voice agent greets returning callers with their real history. AI voice agent

Texts to the wrong person

Families share a number, old numbers never get fixed, and reminders go to someone who isn't the customer.

What we doContact details corrected and households linked, each person kept separate, before the next follow-up goes out. Sequences and automation

Lists that bounce and annoy

Duplicates get the same email twice, dead addresses hurt delivery, and someone who said stop still gets mail.

What we doNo duplicates, no dead addresses, and an opt-out on one list is respected on every list. Email marketing

Reports that don't agree

Revenue, repeat customers and lead sources come out different in every tool, so nobody trusts any of them.

What we doNumbers built on one clean record add up the same way in every report. AI insights

What messy data looks like in your business

Every industry tangles its records in its own way. Customers notice it first.

"You sent the invoice to my old house. I sold it last year."
A roofing company, Tuesday, 10 AM
What we match

One owner across every address they've had, each property kept straight.

What we fix

Past jobs and warranties attached to the property they belong to.

What you get

Invoices to the right address, and one letter per household on your mailing list.

Usually tangled: customers, properties, past jobs and warranties. How we work with home services

"That reminder was for my daughter, not me."
A family dental practice, Monday, 6 PM
What we match

Family members who share a phone number, linked as one household.

What we fix

Each patient kept separate, with contact details corrected before the next reminder goes out.

What you get

Patients due for recall found, even when they were filed twice.

Usually tangled: households, shared phone numbers and duplicate patient entries. How we work with dental and medical

"I talked to your firm two years ago, under my maiden name."
A law firm, Wednesday, 2 PM
What we match

People and companies across old matters, under every spelling.

What we fix

Initials, maiden names and abbreviations caught and tied together.

What you get

One contact per person and one per organization, so a conflict check sees all of it.

Usually tangled: contacts across old files, name changes and company names. How we work with legal

"Two of your agents called me about the same house."
A brokerage, Saturday, 11 AM
What we match

The same buyer entered by several agents, with their full history kept.

What we fix

Which agent keeps the lead, settled by your rules.

What you get

One lead per buyer, and merging never loses where the lead came from.

Usually tangled: leads from several portals, agents' own lists and old open houses. How we work with real estate

"I booked for six of us on a booking site. Do you need everyone's names?"
A tour company, Thursday, 8 PM
What we match

Platform bookings with partial names matched to guests you already know.

What we fix

Group bookings split, so each guest is on their own record.

What you get

Returning guests recognized, and every payout matched to the bookings behind it.

Usually tangled: booking platforms, your own booking page and group bookings. How we work with tours and rentals

Clean data makes everything else work

Every other piece of the system reads from the same record, so cleaning it once improves all of them.

Live in about 2 weeks

We clean what you have, then keep it clean as new records come in.

Days 1 to 3We pull every source

Bookings, POS, inbox, email lists and spreadsheets, side by side.

Days 4 to 8We match and merge

Names, phone numbers and emails matched, duplicates merged, conflicts set aside.

Days 9 to 13You settle the hard ones

Anything we can't match for certain comes to you to decide.

About day 14It stays clean

New records are checked as they arrive, so the mess doesn't come back.

Questions about data cleanup

Where do you pull the data from?

Bookings, the POS, the inbox, email lists and spreadsheets, side by side, so every version of a customer is in view.

Do you change the data in my existing tools?

Only with your OK. We agree up front which system holds the final version of each detail.

What about records you can't match for certain?

They come to you to decide. We don't merge on a guess.

Do we lose any history when records merge?

No. A merged record keeps its full history, including where the lead came from.

Does it help the AI agents?

Yes. The voice and chat agents answer with the customer's real history, because there's only one version of it.

Does it stay clean?

Yes. New records are checked as they arrive, as part of running the system.

How long does it take?

About 2 weeks for most setups, including the time you spend settling the records we can't match for certain.

How is it priced?

It's quoted for your business, based on what we build and run for you, with no per-seat fees. Get a quote.

Data cleanup in your city

The tools businesses use, and the mess they leave behind, are different in every city. See what we do where you work.

Show us the mess. We will untangle it.

We'll send you a quote for the system. Most setups go live in about 2 weeks.