You've outgrown spreadsheets. Everything else is too complicated.

We build Google Cloud data platforms for growing European companies.
Paid audits, fixed-price builds, senior engineering, clean handover so you own what we built.

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What brings most clients here.

The problem

Finance says revenue is X. Marketing says Y. Leadership believes neither.
One person is the bottleneck. Every data question routes through them.
Manual reporting eats hours or days before every board meeting.
You inherited a platform. Nobody knows what half of it does.

What you get

One definition per metric: revenue, CAC, LTV.
Teams answer their own questions, no waiting.
Reports that run automatically and email themselves.
Audited and documented: what to keep, fix or drop.

How we can help.

Build or improve a data platform

Every engagement starts with a paid audit. Then a fixed-price proposal for what comes next.

Audit

Don't know what to build yet?

A paid 1–2 week engagement. Tool recommendation, 12-month cost estimate, fixed-price build proposal.

€3,000 – €5,000 1–2 weeks

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Implementation

No data platform yet?

A full Google Cloud platform built end-to-end. Audit first, then a fixed-price build.

€15,000 – €35,000 8–14 weeks

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Optimization

Platform not working?

Costs out of control, dashboards crawling, numbers no one trusts. Audit first, then prioritized improvements.

€20,000 – €50,000 10–16 weeks

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Already know what you need

Clear scope, no audit needed. We send a fixed-price proposal directly.

Expert Services

Need focus on one thing?

A focused build: one or two layers like Dataform, Looker, or BigQuery costs. Fixed-price, scoped in days to weeks.

€5,000 – €15,000 2–6 weeks

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Ongoing Support

Have a working platform?

Monthly retainer for monitoring, incidents, improvements, and a senior engineer on call. Three tiers.

From €1,000/month Month-to-month

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Who we work with.

This is for you if:

You're on Google Cloud, or planning to be.
You're past the "spreadsheet era" and need a real platform.
You have analysts, not data engineers. Or no team at all.
You need senior data engineering, not a full-time hire.
You want AI to answer your team's data questions accurately.
You can get a decision made. Our best engagements start in two-week sales cycles, not four-month ones.

This isn't for you if:

You need AWS or Azure. We don't do multi-cloud.
You're pre-product-market-fit. Data isn't your bottleneck yet.
You need analysts or data scientists. We're data engineers.
You want the cheapest hourly rate available. We compete on seniority, not price.
You need real-time streaming at scale (Kafka, Flink, sub-second latency). Different specialism.

How we work.

The discovery call

Free 45-minute conversation. We listen, you talk, we tell you whether we're a fit.

The proposal

If scope isn't clear yet, we propose a paid 1–2 week audit that produces a fixed-price build proposal. If scope is already clear, we send a fixed-price proposal directly.

The build

For larger builds, audit first, then the work. For focused engagements, we start directly. Weekly updates, bi-weekly demos, async by default.

The handover

Full documentation, walkthrough session, 30-day support window so your team owns what we built.

Why only
Google Cloud?

Your data is already there

If you run GA4, Google Ads, Google Sheets, and Workspace, most of your data already lives inside Google's ecosystem. BigQuery is its native landing zone: GA4 exports straight in, Google Ads arrives through the Data Transfer Service, Sheets queries in place as an external table. Nothing to buy and nothing to maintain for the sources you already have. That's the head start we build on.

Built to work together

Google's data stack (BigQuery, Dataform, Looker, Cloud Storage) is designed as one platform: the services work together and share billing and monitoring. Specializing in it means we know it from years of daily production use, including where it breaks.