◈ SaaS

Your cloud bill is
a cost of goods.
Make it smaller.

For a software company, infrastructure is not overhead. It is a direct cost of every customer served. Compute runs the same machines, databases, build pipelines and models for less than the leading cloud charges, billed by the second and published beside the leading cloud’s own prices, so improving the unit economics does not require re-architecting the product.

Used by SaaS companies from first paying customer to public company.

30%
Under the leading cloud on CPU instances
30%
Under the leading cloud’s managed databases on databases
Per-second
Billing on machines
One
Platform from git to production

What this looks like in practice

◆Multi-tenant application servers◆Managed databases per tenant or per region◆Background jobs, queues and schedulers◆CI, code review and preview environments◆AI features inside the product◆Marketing site, docs and status pages◆Customer data exports and integrations◆Multi-tenant application servers◆Managed databases per tenant or per region◆Background jobs, queues and schedulers◆CI, code review and preview environments◆AI features inside the product◆Marketing site, docs and status pages◆Customer data exports and integrations
What holds true here

Four things you stop arguing about

◆

Better unit economics, same product

CPU instances at 30% under the cheapest the leading cloud instance with the same vCPUs and memory. The product does not change; the cost of serving it does.

◇

Databases that cost less to run

CosmoBase at 30% under the leading cloud’s managed databases per database-hour, with two databases included to start.

◈

The whole loop in one place

Code in CodeGraph, builds on Panel, production on Compute Instances. One account from commit to customer.

○

AI features at a price that works

Ship model-backed features on tokens priced 30% under the leading cloud’s model service, so they can be included rather than upsold.

The shift

Infrastructure moves from fixed cost to fair cost

Most SaaS companies accept their the leading cloud bill as the price of being in business, then spend engineering time trying to shave it. The simpler move is to run the same things somewhere that charges less for them, bills by the second and publishes the comparison.

The usual arrangement
  • ✕Reserved instances bought to make the price tolerable
  • ✕Engineers spending sprints on cost reduction
  • ✕CI, hosting and databases from different vendors
  • ✕AI features held back by token cost
  • ✕Gross profit that improves only with scale
What replaces it
  • ✓A lower price with no reservation to manage
  • ✓Engineering time back on the product
  • ✓Code, builds, data and servers in one account
  • ✓AI features priced into the plan
  • ✓Better unit economics from the first customer
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 hosting builds
Per build minute
Zero
Commitments
No reservation, no minimum term
Closer in

SaaS, specifically

The board slide about cost of revenue

Hosting is usually the largest line in a SaaS company’s cost of revenue, and the hardest to move without a rewrite. Running the same instances, databases and builds on Compute moves it without one. The comparison against the leading cloud is published item by item, so the saving can be shown rather than asserted.

Previews on every change

Panel builds each pull request in CodeGraph into a working preview, so review happens on the real thing.

Tenants kept apart

Separate databases and environments per tenant or region, configured once and held to.

Jobs that queue properly

Background work on Cloud Services queues and per-second machines, so a busy hour does not need a bigger fleet all month.

Support when it matters

Developer, Business and Enterprise plans at 30% under the leading cloud’s support minimums.

Against the leading cloud

SaaS 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
Build minutes
$0.007 / build minute
Leading cloud $0.01 / build minute · Managed hosting build minutes
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

Do we need to change our application to move?+

Usually not. Applications that run on machines and talk to a database run here unchanged. Most of the work is configuration: environment variables, DNS and the order in which you move things.

How should we sequence a migration?+

Start with something low-risk such as CI or a staging environment, then background jobs, then production. Keep the leading cloud running until each piece has carried real traffic and you are content to switch it off.

What do enterprise customers ask about?+

Residency, access records and separation between tenants, all of which are configured properties of your account. If a customer asks for a specific attestation, ask us directly and we will tell you plainly whether we hold it today.

Are there discounts for committing?+

There is nothing to commit to. The published price is the price, with no reservation and no minimum term, whether you are pre-revenue or a Fortune 500 vendor.

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.