◈ Construction

Build to programme.
Pay for the hours
you actually use.

Construction software follows the shape of a project: quiet during pre-construction, busy at mobilisation, frantic at handover. Infrastructure bought for the peak and left running for the lull is a cost most firms carry without noticing. Compute bills for what runs, and prices it under the leading cloud for the same thing.

Used by contractors, developers and consultancies — from a five-person start-up to a Fortune 500 builder — for project portals, document control and site data.

Per-second
Billing on every machine
30%
Under the leading cloud on CPU instances
Zero
Commitments or minimum terms
One
Bill across every project

What this looks like in practice

◆Project and client portals◆Drawing, model and document control◆Site diaries, inspections and snagging apps◆Rendering and model processing◆Estimating and tender tooling◆Plant, materials and subcontractor tracking◆Handover packs and asset information◆Project and client portals◆Drawing, model and document control◆Site diaries, inspections and snagging apps◆Rendering and model processing◆Estimating and tender tooling◆Plant, materials and subcontractor tracking◆Handover packs and asset information
What holds true here

Four things you stop arguing about

◆

Capacity that follows the job

Spin up rendering or model processing for a design freeze and stop paying the second it ends. Nothing is reserved against a programme that will change.

◇

Cost per project, not per guess

Usage is itemised, so the infrastructure behind a scheme can be charged to that scheme rather than spread across overheads.

◈

The same machine for less

CPU and GPU instances are priced under the leading cloud for the same specification, with the leading cloud’s own published price shown beside ours.

○

Records that outlast the build

Drawings, approvals and change history kept in one place, so the question of what was issued and when has a plain answer years later.

The shift

Infrastructure priced like the programme, not the peak

Most firms moved to the leading cloud to stop buying servers, then found themselves paying for idle instances instead. The fix is not more forecasting. It is a bill that only counts what ran.

The usual arrangement
  • ✕Instances sized for handover and left running all year
  • ✕Reserved capacity bought against a programme that slipped
  • ✕Several bills to reconcile across portals, storage and code
  • ✕Rendering queued behind whatever happened to be free
  • ✕No clear line from cloud spend to a specific project
What replaces it
  • ✓Machines that run when the work does, billed by the second
  • ✓No commitment to unwind when a scheme pauses
  • ✓One bill for hosting, databases, storage and code
  • ✓Rendering capacity started for the job and released after
  • ✓Spend that maps cleanly onto the projects that caused it
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud on CPU instances
Same vCPUs and memory, against the leading cloud’s cheapest match
30%
Under the leading cloud on GPU hours
H100, A100 and L40S, against the leading cloud on-demand
Per-second
Billing
No hourly rounding, no minimum term
Published
Prices
With the leading cloud’s own price beside them
Closer in

Construction, specifically

The lull you stop paying for

Between tender and award, between phases, between jobs, the software barely moves. On a reserved arrangement you pay for it anyway. On Compute the machines stop when the work stops, and the bill follows. For a single contractor that is a tidier overhead; for a large group running hundreds of schemes it is a line finance notices.

Portals clients can rely on

Project and client portals deployed from git on Panel, with builds priced under the leading cloud’s hosting builds.

Rendering on demand

GPU instances for visualisation and model processing, 30% under the leading cloud on-demand for the same GPU.

Site data in one place

Inspections, diaries and snag lists on CosmoBase, with two databases free to start.

Every scheme on one bill

Hosting, databases, storage, code and domains itemised together rather than reconciled across vendors.

Against the leading cloud

Construction 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
L40S GPU hour
$1.30/hr
Leading cloud $1.86/hr · Same GPU (L40S)
30% less
Database
$0.0112 / database-hour
Leading cloud $0.016 / database-hour · Managed database, smallest instance
30% less
Build minutes
$0.007 / build minute
Leading cloud $0.01 / build minute · Managed hosting build minutes
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 does this compare with what we pay the leading cloud?+

For the same CPU instance, GPU or managed database hour, our price is 30% under the leading cloud’s published price, and we show their figure beside ours so you can check. Storage and bandwidth are priced competitively but not on the same terms, and we say so plainly.

We are a small firm. Is this built for us?+

Yes. There is no minimum spend and a free allowance to start, so a start-up pays only for what it runs. The same platform carries large groups with many concurrent projects.

Can we move a live project portal without disruption?+

Move in stages with the existing arrangement still running. Nothing is cut over until the new deployment has carried real traffic and you have chosen to switch.

Do we have to commit to a term?+

No. There are no reservations, minimums or terms. Support plans are monthly, and you can change them as the workload changes.

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.