◈ Information technology

Fewer vendors.
Fewer surprises.
A smaller bill.

IT departments inherit clouds rather than choose them: an account per project, a contract per tool, a bill nobody fully understands. Compute consolidates machines, databases, storage, code hosting, DNS and support onto one platform with published prices beside the leading cloud’s own, so running the estate costs less and explaining it takes less time.

Used by IT teams in midsize businesses, managed service providers and Fortune 500 enterprises.

30%
Under the leading cloud on CPU instances
30%
Under the leading cloud’s support plans minimums
Per-second
Machine billing
One
Bill for the estate

What this looks like in practice

◆Internal line-of-business applications◆Managed databases for departmental systems◆File, backup and archive storage◆Source control and CI for internal teams◆DNS and domain portfolios◆Internal AI assistants and search◆Test, staging and training environments◆Internal line-of-business applications◆Managed databases for departmental systems◆File, backup and archive storage◆Source control and CI for internal teams◆DNS and domain portfolios◆Internal AI assistants and search◆Test, staging and training environments
What holds true here

Four things you stop arguing about

◆

Consolidation without compromise

Machines, databases, storage, git, DNS and support from one provider, under one set of permissions.

◇

Costs you can allocate

Projects map to departments, and every charge is itemised at a published price. Chargeback becomes a report.

◈

Environments that switch off

Test and training machines billed by the second. When the course ends, so does the cost.

○

Support that answers

Developer, Business and Enterprise plans at 30% under the leading cloud’s support minimums, billed monthly with no term.

The shift

IT stops managing vendors and starts managing the estate

A large share of IT effort goes on the seams between providers: separate accounts, separate bills, separate support queues. Fewer seams means less of that work, and a lower price for the same machines means the budget goes further.

The usual arrangement
  • ✕Several clouds, each with its own contract
  • ✕Departmental spend nobody can attribute
  • ✕Test environments left running for months
  • ✕Separate tools for git, DNS and hosting
  • ✕Support priced as a percentage of spend
What replaces it
  • ✓One platform, one agreement, one bill
  • ✓Spend allocated by project, item by item
  • ✓Machines that bill only while they run
  • ✓Code, domains and hosting in one account
  • ✓Support at a published monthly price
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 support plans
Against the leading cloud’s monthly minimums
Itemised
Billing
By project, at published prices
Closer in

Information Technology, specifically

The cloud bill you can explain to the CFO

Every charge on a Compute bill is a quantity times a published price, grouped by the project that incurred it. When finance asks why spend moved, the answer is a list of projects and what they used. When they ask whether it is good value, the answer is the same list priced at the leading cloud’s published rates beside ours.

Internal apps, modernised

Move line-of-business systems onto Compute Instances and CosmoBase, and keep them in CodeGraph with proper review.

DNS in one place

Bring the domain portfolio into Domains, with registration and DNS beside the systems they point at.

An assistant for the service desk

Internal search and assistants built on AI inference, billed per token, priced under the leading cloud’s model service for the same model.

Access that is recorded

Who can reach what is granted explicitly and kept on record, so access reviews are a lookup.

Against the leading cloud

Information Technology 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
Business support
$70.00 / month
Leading cloud $100 / month · Business support plan, monthly minimum
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

Can we run Compute alongside our existing cloud?+

Yes, and most IT teams start that way. Move one department or one class of workload, compare a quarter of cost and operations, and decide on the rest from evidence.

How is access controlled?+

Access is granted per project and per person, and every grant and change is recorded. Separation between environments is configured once and held to.

Do you hold the certifications our procurement asks for?+

Ask us directly about the specific attestation your procurement requires and we will tell you plainly whether we hold it today. We will not imply one we do not have.

Is there an enterprise agreement?+

Pricing is the same published usage pricing for everyone, with no minimum and no term. Larger organisations usually add the Enterprise support plan for a named point of contact.

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.