Hotel technographic data that starts with the system everything else plugs into
TAMI AI sources hotel technographic data for UK properties covering the PMS, the booking engine, the channel manager and the payment provider, because in hospitality the property management system decides what else a hotel can buy.
Our patented AI reads live property websites and booking flows, which is where hotels publish their entire stack whether they mean to or not. Every record comes back with the systems detected, the property type, verified trading status, and the commercial contacts.
1.6m UK companies. 36m verified contacts. Booking stack on every property record.
No card needed. Name a PMS and see which UK properties run it.
Hotels put their technology on the booking page.
Unlike most sectors, hospitality exposes its stack to anyone who looks. The booking engine, the payment gateway, and often the PMS behind them are all customer-facing, which makes this the easiest market to qualify before contact.
What is hotel technographic data?
Hotel technographic data describes the technology a property runs: its property management system, booking engine, channel manager, revenue management tool, payment provider and point of sale. For anyone selling into hospitality, it is the difference between a list of hotels and a list of prospects.
It matters more here than in most sectors because hospitality technology is hierarchical rather than parallel. The PMS sits at the centre, and everything connects through it, so the system a property already runs determines which booking engines, channel managers and payment integrations are even available to it.
Three things you know before the first call
Here are three things a general hospitality leads list cannot give you.
Whether you can connect at all
The PMS, plus the booking engine, channel manager and payment provider around it. Integration is either possible or it is not, and that answer should come before a discovery call.
Whether the decision is even in the UK
Independent, small group, or a property inside an international brand where systems are chosen at head office in another country entirely.
Who signs, and whether they are still there
General managers, owners and revenue leads, with the property confirmed as still trading. Hospitality turns over faster than most sectors and lists go stale quickly.
TAMI AI reads the booking journey on every UK property, so the stack, the property type and the decision-makers arrive together rather than across three tools.
THE PMS DECIDES WHETHER YOU HAVE A PROSPECT AT ALL
Every other system in a hotel connects through it, so it is the first thing worth knowing and usually the last thing anyone asks.
TAMI AI detects the property management system alongside the booking engine, channel manager and payment provider, so you know before contact whether you are integrating, displacing or blocked.
That saves the discovery call that goes nowhere. A property on a PMS you do not integrate with is not a slow prospect, it is not a prospect, and finding that out in week one is worth more than a longer list.
Name a PMS and see which UK properties currently run it. For free.
WHAT OUR CLIENTS THINK OF TAMI
Six ways hospitality vendors use TAMI AI
Here are the top six ways teams selling into hotels and hospitality use TAMI AI.
-
Technographic Data
Detect PMS, booking engine, channel manager, payments and POS per property.
Target by tech stack → -
B2B Lead Generation
Build property lists by system, type, region and scale, with contacts attached.
Find your buyers → -
Customer & Competitor Analysis
See which properties run a rival PMS or booking engine, then build a switch campaign.
Find competitor customers → -
B2B Intent Data
Catch PMS migrations and booking engine changes while the decision is open.
Catch buying signals → -
Market Segmentation
Separate independents, small groups and chains into segments that buy differently.
Segment your market → -
B2B Contact Database
Reach general managers, owners and revenue leads directly.
Search contacts →
Every one of them reads the same booking journey, so a PMS filter and a contact search return the same properties.
What a rep should know before dialling a property
Here are three questions that should be answered before the first call.
The integration question
Which PMS is behind this booking flow, and is it one we connect to?
The authority question
Does this property choose its own systems, or does a brand or group office decide?
The timing question
Has anything in the stack changed recently, and is a review already underway?
Qualification that happens before the call, not during it
Name a PMS or a booking engine and see how many UK properties run it. The first count is free.
The signals a booking journey gives up
Sector and headcount describe any company. These describe a property.
Property management system
The PMS behind the property, where the booking flow or site exposes it.
Booking engine and channel manager
Which direct booking tools and distribution connections are live.
Payment provider at checkout
Processors and payment methods accepted on direct reservations.
Property type
Independent hotels, groups, chains, serviced apartments, pubs with rooms and restaurants.
Region and scale
Location to city level across all four UK nations, with size indicators.
Verified trading status
Whether the property is genuinely operating, checked against its live web presence.
Layer them however you like. A single query returns trading independents in one region on a named PMS with a direct booking engine live.
MOST DETECTION STOPS AT THE HOMEPAGE. THE STACK IS TWO CLICKS DEEPER
Technology detection usually reads the front page and stops. In hospitality, the front page tells you almost nothing, because the engine, the gateway and the PMS behind them only appear once a guest starts booking.
TAMI AI reads that journey, which is why hospitality is one of the most reliably qualified sectors we cover rather than one of the hardest.
458M+
CONTACTS
REAL TIME
REFRESH
What you receive when you build a property list
Those are the filters. These are the six things that land in your hands.
- The property list Every UK property matching your system, type and region criteria, exportable.
- The stack named per property PMS, booking engine, channel manager and payment provider where detected.
- Integration fit flagged Whether the property runs a system you connect to, or one you would replace.
- Contacts inside every property General managers, owners, revenue and commercial leads with verified details.
- CRM delivery Synced and deduplicated, so a property you already work does not arrive as new.
- Change alerts Notification when a property switches PMS, booking engine or payment provider.
Does any of this touch guest or reservation data?
No. TAMI AI reads what a property publishes to the public. The only personal data held is business contact records for named decision-makers, processed under UK GDPR with a documented lawful basis, traceable sourcing and managed suppression. PECR's email rule excludes corporate subscribers, though many independent properties trade as partnerships or sole traders and count as individuals.
How TAMI AI compares on hotel technographic data
TAMI AI reads the booking journey to detect the hospitality stack, confirms the property is trading, and attaches the decision-makers to the same record. Here’s how it differs from common tools UK teams use alongside ours.
| Hotel Tech Report | BuiltWith | TAMI AI | |
|---|---|---|---|
| Booking flow detection | No | Partial | Yes |
| Payment provider at checkout | No | Partial | Patented |
| Property type separated | Partial | No | Yes |
| Verified trading status | No | No | Yes |
| Commercial contacts included | No | Limited | Yes |
| Email verification standard | Not applicable | Not applicable | Under 5% bounce |
| UK property depth | Not published | Not published | 1.6m UK companies |
| Coverage beyond hospitality | No | Yes | Yes |
| Refresh | Review cycle | Crawl cycle | Continuous |
How to work a PMS replacement cycle, in six steps
Pick the PMS you displace, not the properties you want
Start from the incumbent system rather than the property size or region. The install base is your addressable market, and it is finite and knowable.
Rule out the properties you cannot serve
Brand-mandated systems and international head office decisions take properties off the table entirely. Removing them first is worth more than adding a hundred names.
Read the direct booking spend
A property investing in its own booking engine is spending money to cut OTA commission. That is a commercial mindset and a budget, both visible without asking.
Wait for the trigger, then move fast
A second system appearing beside the incumbent means an evaluation has started. PMS reviews run for months and shortlists form early, so a signal is worth more than a sequence.
Approach the operator and the owner differently
General managers care about staff training and cutover risk. Owners care about cost and commission. Send one message to a GM and a different one to whoever holds the freehold.
Recheck before the next season
Hospitality plans around trading seasons rather than quarters. A list built in autumn is aimed at properties whose attention is elsewhere until the new year.
A PMS decision comes round once every several years. Knowing which properties are in one is worth more than knowing which properties exist.
WHAT HOSPITALITY VENDORS DO WITH IT
Map a competitor's UK install base
- Filter for the systems you already integrate with
- Spot a second system appearing beside the incumbent
- Find properties still relying entirely on OTAs
- Reach general managers and owners with separate messages
- Detect the gateway settling direct reservations
- Split independents from group and brand-controlled properties
- Size a region before putting a rep on the road
- Drop properties that have closed or changed hands
- Push the list into your CRM or sequencer
A property on a PMS you cannot connect to is not a slow deal. Filter for integration fit first.
HOSPITALITY LEADS BEYOND THE HOTEL MARKET
Hotels are the most technically legible part of hospitality, but the same logic runs through the rest of it.
- Restaurants take bookings through a reservation platform. Pubs and bars run a till and a payment provider. Venues and serviced apartments both expose a booking flow. All of it is detectable, and all of it separates by property type rather than sitting under one hospitality label.
- Stripe, United States Postal Service, Trustpilot and DHL use TAMI AI to understand commercial markets.
Stripe, United States Postal Service, Trustpilot and DHL use TAMI AI to understand commercial markets.
NO CUSTOM DEVS. JUST PLUG IN
With TAMI, building a verified UK contact list takes minutes. Setup is instant. Data starts flowing straight away. Here's what TAMI integrates with:
QUALIFY A COMPANY WITHOUT LEAVING THE TAB
Pull verified contacts, tech stack, payment providers and merchant data from any company site or social profile while you're already looking at it. Export straight to your CRM.
- Website
- Facebook
- Twitter
Tell us which platform and payment provider you target and we'll tell you how many UK merchants match, with contacts.
Explore more industries
Every industry runs on the same UK dataset. Pick the market you sell into.
Frequently asked
questions
Get the hospitality leads you need
Filter UK properties by PMS, booking engine and payment provider, confirm they are trading, and take the contacts with you.
