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Your entire data team in one app

Turn your data into
better business decisions
in one week.

Moodree builds your AI-ready data foundation automatically, turns your data into trusted analytics, and proactively tells you what matters. Cutting weeks of development down to hours.

Live in one week Runs in your own GCP project No lock-in
your data sources
Moodree AI DATA LAYER BUILDING
00 RAWsource data, untouched✓
10 COMMONshared dimensions✓
20 DOMAINbusiness facts per area✓
30 PRESENTATIONready-to-query views✓
BigQuery Dataform tested & documented
Repeat orders up 12% in UK
spotted by Moodree News · 2 min ago
Trusted by Smootio Vetstor M60 Group OFFFORMS and others…
Typical use cases

Your business questions
finally get fast, trustworthy answers.

Moodree connects the tools you already use into one trusted, AI-ready foundation. These are the questions the companies we work with usually want answered first.

Customer 360

Every customer in one view

Orders, CRM, support and campaigns merged into one profile per customer. The integration runs automatically, so the view stays current.

Sharper targeting and fewer wasted campaigns, which shows up in revenue.
Acquisition funnel

From ad click to closed deal

Ad spend, web analytics and your CRM pipeline joined end to end, including the lag between the first touch and the signed contract.

Put the budget into the channels that actually pay back.
One company view

Every branch, entity and country side by side

Locations, legal entities and markets on the same definitions, in one place, converted to one currency when you need it.

One set of definitions across the group, and hours of manual reporting saved every week.
Product behaviour

What your users actually do in your product

Clicks, screens, sessions and feature usage captured as events, then joined to the customer and the order behind them.

Fix the drop-offs that quietly cost you conversions and revenue.

and more…

Why trust us

Senior data team expertise,
now accessible to growing startups and SMBs.

For over 10 years, we've built data teams, platforms and analytics for growing companies. Until now, building this kind of data capability required months of work and entire teams of data specialists. We've distilled everything we learned from building 50+ data foundations into Moodree, so any growing company can get the same capability in days, not months, at a fraction of the cost.

Proven methodology, not guessworkWe've built 50+ data foundations across Central Europe. Every decision Moodree makes about architecture, tooling and structure comes from seeing what actually works in production.
Speed without cutting cornersWe know exactly which shortcuts kill a warehouse in six months, because we've seen it happen. Moodree is opinionated by design. That's not a limitation, it's the point.
A foundation your team can own and growThe warehouse runs on BigQuery and Dataform, tools any data person already knows. After handover, one person can run it, extend it and grow it. No dependency on us.
How Moodree works

From scattered sources
to AI-ready intelligence.

You describe what you need in plain language. Moodree builds and runs the entire path: from your sources, through a governed warehouse, to the insights your team consumes.

YOUR DATA SOURCES Google Ads Shopify Meta Ads GA4 Product DB CRM ERP Moodree AI DATA LAYER Takes your business requirements. Builds & maintains the entire path below. "We started running Meta Ads, add it to the marketing dashboard" YOUR REQUEST Google Cloud RUNS IN YOUR OWN PROJECT Cloud Functions automated extraction from every source NATIVE BigQuery serverless warehouse NATIVE 00 RAW source data, untouched 10 COMMON shared dimensions, conformed 20 DOMAIN business facts per area 30 PRESENTATION ready-to-query views Dataform SQLX models automated tests version control documentation NATIVE CONSUMPTION LAYER Dashboards Power BI · Metabase Looker Studio PART OF MOODREE Moodree News Insights & actions before you ask Data apps Internal tools built on your warehouse ONE REQUEST · ONE LAYER · THE ENTIRE PATH · BUILT AND MAINTAINED
YOUR DATA SOURCES
Google AdsShopifyMeta AdsGA4Product DBCRMERP
↓
"We started running Meta Ads, add it to the marketing dashboard"
YOUR REQUEST ↓
Moodree AI DATA LAYER

Takes your business requirements. Builds & maintains the entire path.

Google Cloud · YOUR PROJECT
Cloud Functions automated extraction
00 RAW
10 COMMON
20 DOMAIN
30 PRESENTATION
Dataform tested · versioned · documented
↓
CONSUMPTION LAYER
DashboardsPower BI, Metabase, Looker Studio
Moodree NewsInsights and actions before you ask
Data appsInternal tools on your warehouse

From kickoff to handover in about a week, with no technical knowledge needed on your side.

  1. 01Kickoff callWe learn your business: goals, KPIs, key questions and data sources. No SQL, no jargon.
  2. 02We buildSources connected, data models generated, tests run and your first proactive Moodree News insight configured.
  3. 03HandoverResults walked through, credentials and documentation handed over. The warehouse sits in your own GCP project.
  4. 04Your team takes it from hereOne person, even part-time, runs it with Moodree as their accelerator.

Prefer to build it yourself? You can use Moodree directly for the initial build. Follow the documentation and your in-house person has the same accelerator in their hands from day one.

Who it's for

Typical Moodree user.

Two situations come up again and again.

Good fit
  • ✓3+ data sources (e-shop, ads, CRM, analytics...)
  • ✓10–500 employees
  • ✓No data team, or 1–3 people with no capacity left
  • ✓Reporting currently manual or unreliable
  • ✓A stack that was never designed for AI, and no time to rebuild it
  • ✓Someone owns the data problem: CEO, COO, CTO or data lead
Probably not a fit (yet)
  • ×Enterprise with a data platform, a team and a budget already in place
  • ×Early-stage startup with nothing to connect yet (under 2 sources)
  • ×Looking for a BI tool only: we build what goes underneath
  • ×Need a one-off report, not ongoing infrastructure

If at least three of these apply, Moodree is almost certainly a fit.

Pricing

Start with the build.
Then keep it running on a subscription.

Most companies have us build the foundation first, then run and grow it on a monthly subscription. You can also skip the build and do it yourself on a subscription from day one, or hand the whole data function over to us.

Initial warehouse build

Your foundation, built in a week

One-time, fixed scope. Sources connected, warehouse modelled, tested and documented, handed over ready to run.

$5,000–$12,000 one-time
Subscription

Your AI data team, monthly

Keeps the foundation running and growing. Your data person or CTO steers the direction, Moodree does the work.

Free to start, then from $250 a month
Consulting & development

A whole data function, without hiring one

Ongoing development or a fully managed service, with a Head of Data, engineers and analysts behind it.

Custom scoped after a call
FAQ

Questions we get all the time.

Do we need a data engineer on our side?

No. We handle everything technical during setup. On your side it is business interviews and agreeing on the definitions of your key metrics. After that, the warehouse can be maintained by any data-savvy person powered by Moodree. See the full process.

If GCP works without Moodree, why do we need it?

GCP gives you the infrastructure. Moodree gives you the architecture, models, tests and documentation: the things that turn raw infrastructure into a working, reliable, AI-ready warehouse. Without Moodree you'd need a senior data engineer to do it manually.

What happens to our data?

Your data stays in your own Google Cloud project. We never store or access your data outside of the build process. Credentials are stored in GCP Secret Manager, not in our systems.

Can our team maintain it after handover?

Yes, that's by design. We document everything, use standard Dataform SQL that any analyst can read, and hand over the full Git repository and credentials. You're not locked in to us.

How long does it actually take?

The build itself usually takes about a week. What varies is the discovery around it: a company with one stakeholder and three clean sources is quicker than one with several teams, legacy definitions and a dozen systems to agree on. We tell you what to expect after the first call.

Your AI data team is
one call away.

No data engineer needed. No months of setup. Just a working warehouse and analytics in a week.

Book a free call →