You have data everywhere.
Nowhere useful.

A proper data platform, without hiring a data team. We design and build end-to-end on GCP — from raw ingestion to the dashboards your team opens every morning. Fixed price. Senior engineer on every project. Documented handover so you own it when we leave.

Let's talk

What brings most clients here.

The problem:

  • Spreadsheets are your reporting layer. They break.
  • Manual reporting eats hours or days before every board meeting.
  • Teams disagree on numbers. Same metric, different answers.
  • One person is the bottleneck. Every data question routes through them.
  • Basic questions take an afternoon. Hours of file-digging to answer.
  • Decisions get made on gut feel. The numbers aren't trusted.

What you get:

  • Dashboards your team actually trusts and opens every morning.
  • Reports that run automatically and email themselves.
  • One definition per metric — revenue, churn, LTV.
  • Self-service analytics — no ticket needed.
  • Decisions grounded in data, not gut feel.
  • Docs good enough for your next hire to take over.

We build the platform, we hand you the keys, and we leave — with a 30-day support window so your team lands cleanly.

What we build, end to end.

Each layer chosen based on your data volume, team skill, and budget — not on which vendor pays partner commissions.

Three layers. All three done right.

Automated Data Pipelines

We connect your data sources — databases, APIs, SaaS tools — using Airbyte or Fivetran depending on cost and reliability needs. Data lands in BigQuery on a reliable schedule, with monitoring and alerts when something breaks.

Data Architecture & Modeling

Raw data is cleaned, modeled, and documented in Dataform or dbt. Staging, intermediate, and reporting layers. Data quality tests built in from the start so issues surface before they hit dashboards.

Dashboards, Reports & AI-ready

We connect the BI tool that fits your team — Looker, Lightdash, Metabase, or Steep — and build the dashboards that matter. The platform underneath is designed so that when you're ready to add AI features, the foundation is already there.

The tools we reach for.

Every implementation uses some combination of these. The mix depends on your data sources, team, and budget — we explain the tradeoffs before we pick.

BigQuery
BigQuery Serverless data warehouse. Gemini-native. EU multi-region ready.
Dataform
Dataform SQL transformations, GCP-native. Our first choice on fresh projects.
dbt
dbt When clients bring dbt, we work within it.
Airbyte
Airbyte Cloud or open-source ELT. 600+ connectors, plus a builder for custom APIs.
Fivetran
Fivetran Managed ELT when reliability matters more than cost.
Looker
Looker Enterprise BI with LookML governance and Gemini-powered conversational analytics.
Lightdash
Lightdash BI with metrics in code. AI-native. Flat-rate instead of per-seat.
Metabase
Metabase Open-source BI for everyone. Dashboards, metrics, and an AI that answers back.
Steep
Steep Metric-based BI for non-technical teams. Ask questions, get answers.
Dagster
Dagster Orchestration when the pipeline gets complex.

See all technologies and when we pick each →

How an implementation runs.

Kickoff & alignment (1 week)

Once the proposal is signed: environment access, team alignment, deep-dive on sources and constraints. We finalize the build plan.

Build (6–10 weeks, bi-weekly demos)

We lead the technical work. Your team joins reviews and decisions, and can take on small parts when it makes sense. Weekly updates, demos every two weeks, no daily standups.

Handover (1–2 weeks)

Training sessions, full documentation, recorded walkthroughs. Your team owns it when we leave — not in theory, in practice.

Post-launch support (30 days, included)

You have questions, small tweaks, an unexpected edge case. We're reachable for 30 days after handover at no extra cost.

Pricing.

Typical range €15,000 – €35,000

Most projects land in this range. We quote a fixed price after the scoping call — no hourly billing, no change orders without your approval.

What affects the price

Factor Lower price Higher price
Number of data sources 2–3 simple sources 6–10 mixed sources
Transformation complexity Standard model Complex business logic
BI tool Steep / Lightdash Looker with LookML
Orchestration needs None needed Dagster-based workflow

Example scenarios

Startup stack
€15,000 – €18,000
6–8 weeks

Startup with Postgres, Stripe, and HubSpot. Lightdash for dashboards.

Scale-up stack
€25,000 – €35,000
10–14 weeks

Scale-up with product databases, marketing APIs, and finance tools. Looker with LookML.

E-commerce stack
€18,000 – €22,000
6–8 weeks

E-commerce business with Shopify, advertising platforms (Meta, Google), and finance tools. Dataform + Steep for the ops team.

Payment

50% at project start · 30% at the mid-project milestone · 20% on final handover. Fixed price. No change orders without a signed amendment.

After we're gone.

Most clients take the platform and run it themselves — that's the goal. Some prefer a safety net: monthly retainers for monitoring, improvements, and a senior on call.

See retainer options →