◈ Real estate

Listings, valuations
and tenants.
One platform, one bill.

Property businesses run on more software than they appear to: listing sites, search, valuation models, tenant and owner portals, document handling and building data. Compute runs all of it in one account, at prices published beside the leading cloud’s and 30% under them for machines and databases, billed only for what is used.

Used by agencies, property managers, proptech startups and large portfolio owners.

30%
Under the leading cloud on CPU instances
30%
Under the leading cloud’s managed databases on databases
Per-second
Machine billing
One
Bill across the portfolio

What this looks like in practice

◆Listing sites and property search◆Valuation and pricing models◆Tenant, owner and landlord portals◆Lease and document processing with AI◆Building sensor and energy data◆Viewing, booking and maintenance systems◆Portfolio reporting for investors◆Listing sites and property search◆Valuation and pricing models◆Tenant, owner and landlord portals◆Lease and document processing with AI◆Building sensor and energy data◆Viewing, booking and maintenance systems◆Portfolio reporting for investors
What holds true here

Four things you stop arguing about

◆

Search that stays quick

Listing sites on Panel and Nexus, close to buyers and renters, with property data in CosmoBase.

◇

Documents read for you

Extract terms from leases and contracts with AI inference at 30% under the leading cloud’s model service for the same model.

◈

Valuations on demand

Run pricing models across a whole portfolio on per-second machines, then release them.

○

Portfolios kept apart

Separate projects per fund, client or building, each with its own access and itemised costs.

The shift

Property technology stops being a patchwork

Most property businesses accumulate systems: one for listings, one for tenants, one for documents, each on its own host and bill. Consolidating them onto one platform with lower prices for the same machines removes cost and a good deal of administration.

The usual arrangement
  • ✕Listings, portals and documents on separate vendors
  • ✕Lease terms re-keyed by hand
  • ✕Valuations run quarterly because they are slow
  • ✕Building data collected and left unused
  • ✕Costs that cannot be split by portfolio
What replaces it
  • ✓One account for every system
  • ✓Lease terms extracted and checked
  • ✓Valuations run when the question is asked
  • ✓Sensor data that feeds reporting
  • ✓Costs itemised by fund, client or building
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud on CPU
Same vCPUs and memory, cheapest the leading cloud match
30%
Under the leading cloud’s managed databases
Per database-hour
30%
Under the leading cloud’s model service
General-model tokens
Itemised
By portfolio
Every charge at a published price
Closer in

Real Estate, specifically

The valuation you can run on a Tuesday

Portfolio revaluations tend to happen on a schedule because they need capacity nobody keeps spare. On Compute the capacity is hired by the second for as long as the run takes, at 30% under the leading cloud for the same machines. An investor’s question can be answered with a fresh number rather than last quarter’s.

Portals tenants use

Rent, maintenance and document portals on Panel, on your own domain, changed on an ordinary cadence.

Listings on your domains

Register and manage domains for each brand or development in the same account as the sites.

Buildings that report

Sensor and energy readings collected through Cloud Services queues and kept in CosmoBase.

Photos and plans stored together

Images, floor plans and documents in Cloud Services object storage beside the systems that use them.

Against the leading cloud

Real Estate 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
Database
$0.0112 / database-hour
Leading cloud $0.016 / database-hour · Managed database, smallest instance
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

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

Questions we are actually asked

Answers without the hedging

We are a small agency. Is this for us?+

Yes. A listing site and its database fit within the free allowances, and anything beyond is billed by use with no minimum. The same platform serves large portfolio owners.

Can we keep tenant data separate by client?+

Each client, fund or building can be its own project, with access granted and recorded per person and data kept where you configure it.

Do you provide property data or listings?+

No. Compute is the infrastructure your systems run on. Your data, feeds and sources remain your own.

How do we compare costs with our current host?+

Every price is published with the leading cloud’s price for the same item beside it on the compare page. Price a month of your current usage at both.

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.