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Pricing

A licence for the software. Your cloud bill stays yours.

Zeroth runs in your Google Cloud project, so you pay Google directly for what it uses and us for the software and support. We price each install with you while we onboard our first clients.

Pilot

Start here

Zeroth installed in your Google Cloud on your own data, to prove it on real questions before you commit.

On request

  • Install in your Google Cloud project
  • One starter pack mapped to your sources
  • Your first dashboards and comparisons
  • Success criteria agreed up front
Book a demo

Production

Most teams

The full product for your organisation, with support and upgrades.

On request

  • Everything in the pilot
  • Staging and production environments, previews for every change
  • Roles, row-level access and Google Groups
  • Forecasts, targets, digests and scheduled analyses
  • Upgrades and support
Book a demo

Hosted

Planned

Zeroth run for you, for teams who'd rather not operate a cloud project. Planned after our first installs.

Planned

  • Same product and the same definitions-in-git workflow
  • Tell us if you'd like early access
Ask about early access

Questions

Pricing, cost and data.

Why aren't prices on the page?
We're onboarding our first clients and pricing each install with them. We'll publish prices when the packages are settled; until then, a demo call is the quickest way to an exact number.
What will Google Cloud cost us?
You pay Google directly for what Zeroth uses in your project. It's serverless: at rest it costs about one warm Cloud Run instance, plus daily jobs, storage and your chosen AI model's usage.
Is our data shared with you?
No. Zeroth runs in your project and your data stays there. Access is through your own Google accounts.
Which data sources do you support?
Zeroth reads daily extracts from BigQuery. Starter packs cover GA4 e-commerce, Shopify commerce and paid media; other sources are modelled in BigQuery first.

Let's work out what your install needs.

A walkthrough on a realistic multi-market dataset, then we talk about your stack and what an install would look like.

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