◈ Hospitality

Full house in August.
Quiet in February.
A bill that knows the difference.

Hotels, resorts and travel businesses live with seasons, events and sudden demand. Infrastructure that is sized for the busiest weekend of the year and paid for every other weekend is a quiet drain. Compute bills by the second, prices machines under the leading cloud, and puts the whole estate on one bill.

Used by independent hotels, boutique groups, travel start-ups and Fortune 500 hospitality brands for booking, guest and property systems.

Per-second
Billing through every season
30%
Under the leading cloud on CPU instances
Zero
Minimum terms
One
Bill for every property

What this looks like in practice

◆Booking engines and rate distribution◆Guest apps and digital check-in◆Property management integrations◆Loyalty and membership programmes◆Events, spa and dining reservations◆Revenue and occupancy analytics◆Guest messaging with AI inference◆Booking engines and rate distribution◆Guest apps and digital check-in◆Property management integrations◆Loyalty and membership programmes◆Events, spa and dining reservations◆Revenue and occupancy analytics◆Guest messaging with AI inference
What holds true here

Four things you stop arguing about

◆

Capacity follows the calendar

Booking surges for a festival or a holiday are met as they arrive, and the bill falls back when they pass.

◇

The same machine for less

CPU instances priced 30% under the cheapest the leading cloud instance with the same vCPUs and memory, published beside the leading cloud’s price.

◈

Guest data kept properly

Guest records in managed databases with a full history of access and change, separated by property where you need it.

○

Every property, one bill

Sites, apps, databases and domains across a portfolio itemised together rather than per vendor.

The shift

Paying for occupancy, not for the empty rooms

Hospitality knows better than any sector that an empty room still costs money. Cloud infrastructure has quietly worked the same way. It does not have to.

The usual arrangement
  • ✕Servers sized for peak season and running all year
  • ✕Booking pages that slow when a sale goes live
  • ✕Each property on its own hosting and its own bill
  • ✕Guest data spread across systems nobody owns
  • ✕Cloud costs discovered on the invoice
What replaces it
  • ✓Capacity that rises and falls with demand
  • ✓Booking surfaces that hold when everyone arrives
  • ✓One platform and one bill across the portfolio
  • ✓Guest records kept in one place with a history
  • ✓Published prices you can check before you run
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud on CPU instances
Same specification, cheapest the leading cloud match
30%
Under the leading cloud’s model service
Tokens on the general model
Per-second
Billing
Quiet months cost what they use
Published
Prices
With the leading cloud’s own beside them
Closer in

Hospitality, specifically

The sale that does not fall over

A flash sale or a newly announced event sends everyone to the booking page at once. On a fixed arrangement you either over-provision all year or accept a slow afternoon. On Compute the capacity arrives with the demand and leaves with it, billed to the second. A single guest house and a global brand pay the same rate.

Booking sites from git

Property and brand sites deployed on Panel, with builds priced under the leading cloud’s hosting builds.

Guest messaging, by the token

Replies, translations and summaries through AI inference, 30% under the leading cloud’s model service for the same model.

Every brand’s domain

Domains and DNS for every property registered and managed in one place.

Loyalty on CosmoBase

Membership and points held in managed databases priced under the leading cloud’s managed databases.

Against the leading cloud

Hospitality on Compute, against the leading cloud

4 vCPU / 8 GB server
$0.0941/hr
Leading cloud $0.1344/hr · Its cheapest machine with 4 vCPU and 16 GiB
30% less
Build minutes
$0.007 / build minute
Leading cloud $0.01 / build minute · Managed hosting build minutes
30% less
General & code model — input
$0.105 / million tokens
Leading cloud $0.15 / million tokens · The same open-weight model, input tokens
30% less
Database
$0.0112 / database-hour
Leading cloud $0.016 / database-hour · Managed database, smallest instance
30% less

Compared with the leading cloud's own published on-demand prices, US East. Every comparison.

Questions we are actually asked

Answers without the hedging

How much less than the leading cloud will we pay?+

For CPU instances, managed database hours, build minutes, AI inference and support plans, 30% under the leading cloud’s published price for the same thing. Storage and bandwidth are priced separately and we do not claim the same figure for them.

Can we handle a sudden spike in bookings?+

Yes. Capacity is added as demand arrives and billed by the second, so you are not paying for the peak in the off-season.

Can we start with one property?+

Yes. There is no minimum spend. Start with one site, compare the bill, and bring the rest across when you are ready.

Is there a contract?+

No commitments or minimum terms. Support plans are monthly.

Other industries

Where else this goes

AI Agents

Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.

Customer Acquisition

Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.

Marketing

Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.

Lead Generation

Run the forms, enrichment jobs, scoring models and routing that turn interest into leads, for less than the same infrastructure costs on the leading cloud.

Sales

Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.

Creator Economy

Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.

Start where it matters most

Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.

No migration required to begin. Nothing to tear down if you stop.