◈ Finance

Defensible systems.
Predictable costs.
Less than the leading cloud.

Finance teams and financial firms need two things from infrastructure that are often in tension: a record that stands up to scrutiny, and a cost that stands up to the budget. Compute gives you both — a complete history of change and access, and machines and databases priced 30% under the leading cloud for the same specification, billed by the second.

Used by fintech startups, asset managers, corporate finance teams and Fortune 500 treasury functions.

30%
Under the leading cloud’s managed databases on databases
Complete
Change and access record
Per-second
Billing for batch risk
Published
Prices beside the leading cloud’s

What this looks like in practice

◆Payment and settlement services◆Risk, pricing and exposure calculations◆Month-end close and reconciliation jobs◆Customer portals and statements◆Fraud and anomaly detection models◆Regulatory and management reporting◆Research and quantitative analysis◆Payment and settlement services◆Risk, pricing and exposure calculations◆Month-end close and reconciliation jobs◆Customer portals and statements◆Fraud and anomaly detection models◆Regulatory and management reporting◆Research and quantitative analysis
What holds true here

Four things you stop arguing about

◆

The record is the work

Every change to code, configuration and access is attributable and retained, so evidence is a query.

◇

Batch risk by the second

Overnight calculations on large CPU or GPU instances, billed only for the time they run, at 30% under the leading cloud.

◈

Databases for less

Ledgers and reporting stores on CosmoBase at 30% under the leading cloud’s managed databases per database-hour.

○

Costs finance would sign off

Published prices, per-second billing, no commitments. The forecast is arithmetic.

The shift

Control and cost stop pulling in opposite directions

The usual way to make finance infrastructure defensible is to add process and capacity, both of which cost money. The better way is a platform where the record is automatic and the capacity is billed only while it is used.

The usual arrangement
  • ✕Audit evidence gathered by hand each period
  • ✕Risk grids sized for quarter-end all year
  • ✕Reserved capacity bought to tame the bill
  • ✕Separate tooling for code, hosting and data
  • ✕Month-end jobs competing for the same servers
What replaces it
  • ✓Evidence that exists because the work happened
  • ✓Capacity hired for the run, by the second
  • ✓A lower price with nothing to reserve
  • ✓One account from repository to production
  • ✓Each job on its own machines, for as long as it needs
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud’s managed databases
Per database-hour
30%
Under the leading cloud on CPU
Same vCPUs and memory, cheapest the leading cloud match
Complete
Change history
Attributable and retained
Zero
Commitments
No reservation, no minimum term
Closer in

Finance, specifically

Quarter-end without the standing grid

Risk and close calculations peak a few days a month. Most firms pay for that peak every day. On Compute the grid exists for the hours it is needed, on CPU or GPU instances at 30% under the leading cloud, and the record of what ran, on what code, with what inputs, is kept automatically for whoever asks later.

Payments that hold steady

Payment services on Compute Instances and CosmoBase, with every change reviewed in CodeGraph before it ships.

Fraud models, retrained often

Retrain on GPU instances as patterns shift, without keeping hardware idle in between.

Residency as a setting

Where data lives is configured and held to, so it matches what your obligations require.

Analysts with an assistant

Research and summarisation on AI inference, priced per token at 30% under the leading cloud’s model service for the same model.

Against the leading cloud

Finance 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
A100 GPU hour
$1.92/hr
Leading cloud $2.74/hr · Same GPU (A100 40 GB)
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 meet our regulator’s requirements?+

The record of change and access is complete and retained, and residency and separation are configured properties. Where a regulator or client requires a specific attestation, ask us directly and we will tell you plainly whether we hold it today.

Is the cost really predictable with usage billing?+

Yes. Every price is published, and usage in finance is unusually regular. Last month’s usage at this month’s prices is a reliable forecast, with no tier changes to catch you out.

How do we move without disrupting operations?+

In stages, with the existing arrangement still running. Batch and reporting work usually moves first, transactional systems last, each only once its replacement has run in parallel and you are satisfied.

Does this suit a startup as well as a bank?+

The same platform and prices serve both. A fintech starting out uses the free allowances; a large institution adds the Enterprise support plan and separate projects per entity.

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.