Boutique data, analytics, ML and AI
Founder-led delivery from Lisbon
Pipelines, models, and production AI
English-first · EU-based studio
Start a project — we ship
Decision-grade data, not dashboards for their own sake
Boutique data, analytics, ML and AI
Founder-led delivery from Lisbon
Pipelines, models, and production AI
English-first · EU-based studio
Start a project — we ship
Decision-grade data, not dashboards for their own sake
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About DatabyPassion

Decisions are the last mile of enterprise data

We built a boutique that closes that gap. Analytics, engineering, ML and AI — the way your best operators already reason, at production quality.

8+
Years in production data
4
Practices in one studio
EU
Founder-led from Lisbon
1
Accountable founder
Our mission

High-stakes decisions still run on intuition. We are changing that.

DatabyPassion is a founder-led studio. Before this brand, the founder shipped data and AI inside large organisations — including Mercer (lead data engineering for wealth) and EY-Parthenon (AI engineering). Those names appear here, not as a client logo wall.

Not a body shop

Senior delivery, not a bench of juniors billed as a platform.

Not a black box

Lineage and an audit trail on recommendations that matter.

Not a one-off deck

Pipelines and models that are still running after the kickoff glow fades.

Principles

What we believe

These are the constraints we ship against.

Reasoning-first

We start from the decision, not from a tool catalogue.

Operator-built

Work is shaped by people who have sat in the same rooms.

Outcomes-obsessed

Success is a changed operating number, not a dashboard count.

Explainable by default

If a committee cannot follow it, it is not done.

No training on your data

We do not use client data to train our own models.

Compound systems

Each engagement should leave a sharper baseline.

How we work

Not a twelve-month theatre

Discover, architect, ship, compound — in weeks where the problem allows it.

01 Discover

Map the decision landscape

Highest-value decisions, data, rules, and the people who make the call today.

02 Architect

Build the graph

Entities, pipelines, and constraints so the system matches how the business actually works.

03 Deploy

Go live

Workflows and models in the tools you already open — with an audit trail.

04 Compound

Leave it better

Handover, monitoring, and a backlog that is honest about what is next.

Stop guessing. Start shipping.

A conversation with the founder — not a sales ladder.

Start a project →