If any of these come up in your leadership meetings, you're ready for us.
We opened a new market and can't tell if it's working
Each market runs its own playbook and its own numbers
Marketing spend is growing faster than what we know about it
Each team has different numbers for the same metric
Only the engineering team can pull data
We want to use AI but our data is a mess
What we do
Two practices. One team.
Take the strategy, the data, or both. We scope every engagement around what you need at your stage — not what you'll need in three years.
Strategy & Growth
Where to grow, how to organise for it, and what to stop doing.
Market entry & go-to-market
Which market, which segment, which channel, in what order. A plan with numbers attached, before the budget is spent.
Companies opening a new country or segment
Commercial & marketing organisation
Team design, roles, agencies and budgets structured around how you actually grow. We design it. Your team runs it.
Leaders restructuring ahead of a growth push
Strategic advisory
A senior partner in the room each month for pricing, distribution, partnerships and the decisions that don't fit inside a project.
Owners and executives who want senior judgment on call
Data & Analytics
The infrastructure and reporting that show whether the plan is working.
Data strategy
Define the metrics framework, architecture, and tooling decisions before writing a single line of code. One source of truth starts here.
Leaders who know they need data but don't know where to start
Data infrastructure build
Cloud setup to production-grade warehouse. Pipelines, event tracking, data source unification, monitoring. Your engineers stop writing manual SQL.
Companies scaling faster than their current data setup
Marketing analytics & BI
Attribution, paid media efficiency, channel reporting, and dashboards the whole company actually uses — built on the foundation, not on top of Sheets.
Marketing and finance teams still living in spreadsheets
AI-ready infrastructure
Feature stores, model productionalization, vector pipelines, LLM tooling. We build the data foundation that makes AI features possible.
Teams that want to ship AI but their data is a mess
Team building & handoff
We define the role, screen candidates, and onboard the person who takes over. Every build ends with your team owning it.
Every client — this is how builds end
Start here
Growth Diagnostic
A strategy assessment and a data maturity assessment, delivered as one roadmap. The fastest way to find out what to do first.
3–4 weeks
Growth Partner
Senior strategy and data leadership by the month. Defined days, defined scope, new builds quoted separately.
Monthly retainer
We don't run your ads, your social or your content. We design the organisation and measure it.
The model
We build so your team owns it.
Projects end with a handoff. Retainers last as long as they pay for themselves. Either way, the plan and the stack are yours.
1
Assess & scope
We start with a diagnostic — where you want to grow, what your data can tell you today, the numbers your board actually asks for. We scope the right work, not the maximum work.
2
Build & ship
A plan your team can run and a stack in production. Pipelines, dashboards, reporting that passes due diligence. No prototypes, no decks that sit in a drawer.
3
Hand off, or stay on
We write the runbooks and train the people who take over. If you want senior strategy and data leadership after that, we stay on by the month. Your call. Never a dependency.
The team
Small team. Senior people.
Strategy, data and finance. A senior partner on each.
AM
Adrian Marruedo
Founder & Partner · Data & Analytics
Prague · Remote
Data engineer and strategist. Built data infrastructure from zero at multiple funded startups across Europe — first pipeline through Series A reporting. Founded Faro Data to give scaling companies access to senior data expertise without the full-time hire.
Data infrastructurePipelines & warehousingBI & reportingAI-ready stacks
TB
Tjark Block
Partner · Finance & Operations
Prague · Remote · DACH
Finance & Operations Advisor with 5+ years working with e-commerce and SaaS founders across DACH. Trained as a Steuerfachangestellter (accounting-trained), co-founded an Amazon FBA business. Covers financial clarity, operational restructuring, and DD support — the numbers side when data and finance need to move together.
Financial clarityE-commerceSaaS metricsOperational financeDD & transaction support
Selected work
Built so the client owns it.
Every engagement here ended with the client owning the stack.
Built Goin's entire data function from zero through their Series A.
Joined as employee #1 and stood up the full data stack — pipelines, warehouse, BI, and ML in production for churn — alongside the reporting that supported the Series A round.
25→6 min
Time-to-first-response
+3pp
Funnel conversion
Series A
Due diligence passed
"Adrian was employee #1 at Goin and built our entire data function solo — strategy, pipelines, BI, ML, the lot. One of the most multi-disciplinary people I've ever worked with. Our investors kept bringing up the reporting as a reason they backed us."
— David Riudor, Founder & CEO, Goin