◈ Sales

Give sellers better tools.
Give finance
a smaller bill.

Sales organisations run more software than they used to: CRMs and the integrations around them, call transcription and analysis, forecasting models, assistants that draft the follow-up. Compute runs all of it on one bill, at prices published beside the leading cloud’s own, so the tools get better without the cost line growing to match.

Used by revenue operations and sales engineering teams, from early-stage startups to global enterprises.

30%
Under the leading cloud’s managed databases on databases
30%
Under the leading cloud’s model service on tokens
Per-second
Machine billing
One
Bill for the sales stack

What this looks like in practice

◆Self-hosted and custom CRM systems◆CRM integrations and data synchronisation◆Call transcription and conversation analysis◆AI assistants for research, notes and follow-ups◆Forecasting and pipeline reporting◆Quote, proposal and contract generation◆Territory and commission calculations◆Self-hosted and custom CRM systems◆CRM integrations and data synchronisation◆Call transcription and conversation analysis◆AI assistants for research, notes and follow-ups◆Forecasting and pipeline reporting◆Quote, proposal and contract generation◆Territory and commission calculations
What holds true here

Four things you stop arguing about

◆

Data under your control

Customer and pipeline data in CosmoBase, at 30% under the leading cloud’s managed databases per database-hour, in an account you own.

◇

Assistants that pay their way

Research accounts, summarise calls and draft follow-ups with AI inference billed per token, under the leading cloud’s price for the same model.

◈

Batch work, briefly

Transcription and forecasting run on Compute Instances by the second, then stop billing.

○

Change without a project

Integrations and internal tools are repositories in CodeGraph, reviewed and shipped like any other software.

The shift

Sales tooling stops being a cost you defend every year

Each new sales tool arrives with a case for its value and a line on the bill. The second part is what gets them cut. Running the infrastructure underneath for less, and billing only for what is used, makes the case easier to keep winning.

The usual arrangement
  • ✕Integrations held together by one person who knows them
  • ✕Call analysis priced so high it runs on a sample
  • ✕Forecasting on a schedule the servers can afford
  • ✕AI assistant spend nobody can forecast
  • ✕A renewal-time argument about infrastructure cost
What replaces it
  • ✓Integrations as reviewed code with a history
  • ✓Every call analysed, because tokens cost less
  • ✓Forecasts run when they are needed
  • ✓Assistant cost on a published per-token price
  • ✓A bill that tracks the size of the team
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’s model service
General-model tokens
Per-second
Machine billing
For transcription and forecasting
Zero
Minimum term
No commitment, no reservation
Closer in

Sales, specifically

Every call, not a sample

Conversation analysis is usually rationed because it is expensive: a few calls per seller per week. When the transcription runs by the second and the analysis by the token, both priced under the leading cloud, the ration stops making sense. Coaching works from what actually happened rather than from what someone happened to listen to.

A CRM you can extend

Custom objects, workflows and integrations built as ordinary software and deployed through Panel.

Proposals in minutes

Generate first drafts of quotes and proposals from your own templates and data, with a person approving each.

Forecasts on demand

Run the model when the board asks, not when the nightly job gets round to it.

Support that matches the stakes

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

Against the leading cloud

Sales on Compute, against the leading cloud

Database
$0.0112 / database-hour
Leading cloud $0.016 / database-hour · Managed database, smallest instance
30% less
General & code model — output
$0.455 / million tokens
Leading cloud $0.65 / million tokens · The same open-weight model, output tokens
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 have to replace our CRM?+

No. Many teams keep their CRM and move the integrations, data warehouse and AI tooling around it. Teams that run their own CRM can host it here too.

Where does our customer data live?+

In your account, in a location you configure. Access is granted explicitly and recorded, and we hold to the residency you choose.

How quickly can sales engineering get started?+

An account, a repository and a database take minutes. The free allowances are enough to build and test an integration before anything is billed.

Is this suitable for a large sales organisation?+

The same platform serves a five-person startup and a Fortune 500 sales organisation. Larger teams typically add an Enterprise support plan and separate projects per region or business unit.

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.

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.

SaaS

Run your product, its databases, CI and AI features on one platform that costs less than the leading cloud for the same machines, databases and models.

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.