Put data and AIto work in your business.

A data and AI consultancy that helps you equip your team, decide where to invest and build tools that fit the way you work.

Book an introductory callExplore our services

What do you needto move forward?

Start with the business problem. Choose one service or connect all three.

Enablement

Build skills your team can use.

Start here when your team needs to put AI into everyday work.

  • Leadership sessions
  • Hands-on workshops
  • Guided AI practice

You leave with practical skills, repeatable ways of working and use cases to explore.

Discuss enablement

Strategy

Build the case before you invest.

Start here when you need to decide where data and AI merit investment.

  • Opportunity assessment
  • Real EBITDA scenarios
  • Roadmap and first pilot

You leave with a business case you can challenge, including clear priorities, assumptions and a first project to scope.

Discuss strategy

Implementation

Build it. Check it. Put it to work.

Start here when you have a process to improve or a solution ready to build.

  • Data pipelines
  • AI assistants and agents
  • Testing and expert review

You leave with a working solution: verified outputs, clear ownership and measures to track its value.

Discuss implementation

The problems we’re working on.

Data integration, AI-assisted work and expert review, with each project’s current stage made clear.

Bringing athlete data into coaching decisions.

Sports performance

Active project · Results not yet measured

A shared view of athlete data, with AI-drafted recommendations that coaches review before changing a plan.

  • Data integration
  • AI decision support
Read project details

The challenge

Training, wearable and medical information sits across different sources, making individual plans harder to prepare.

What we’re building

A performance command centre that brings the information into one place and supports plan preparation. Coaches keep the final say on recommendations.

Making legacy products easier to migrate.

Insurance

Working application · Demonstration data

An AI-assisted studio that turns source material into structured product specifications, with evidence and expert review at each stage.

  • Document intelligence
  • Workflow automation
Read project details

The challenge

Product definitions are buried in documents, databases and old screens. Reconstructing them by hand is slow and difficult to verify.

What we’re building

The studio documents sources, prepares a product memo and produces configuration and test outputs after human approval.

Define the value.Verify the progress.

Your team helps define success and review the evidence. We test each delivery and use what we learn to decide the next step.

  1. 01

    Establish the baseline

    Map the process, the people and the current figures. Agree the measures that guide the work.

  2. 02

    Start small

    Test the approach with a workshop, assessment or pilot before expanding the scope.

  3. 03

    Verify throughout delivery

    Check data, test outputs and review results with your experts at every milestone.

  4. 04

    Measure and hand over

    Compare results with the baseline. Hand over the solution, its checks and the know-how.

Before we start.

Do we need a defined AI project?

No. Bring a task, a decision or a process you want to improve. We can help assess the opportunity and decide whether enablement, strategy or implementation is the right starting point.

Can we work with you on just one service?

Yes. Start with a workshop, a strategy engagement or implementation. We agree the scope around your needs; you do not have to commit to all three.

What does real EBITDA analysis involve?

We use your actual business figures to assess how a proposed project could affect earnings before interest, taxes, depreciation and amortisation (EBITDA). We make revenue, cost and adoption assumptions explicit, include delivery and running costs, and distinguish time released from savings the business can realise. Scenarios support the investment decision; measured results are checked against the baseline during implementation.

How do you verify the work during implementation?

We agree acceptance criteria and measures at the start, then check data quality, test outputs and review progress with your experts at each milestone. We revisit the business case as evidence comes in and resolve gaps before the next delivery.

Let’s find yourstarting point.

Tell us which task, decision or process you want to improve. We’ll discuss where data and AI could help and which kind of support fits.

Choose a time

In Portuguese or English. You don’t need a finished brief to start.

What we’ll cover

  • Your business challenge and priorities
  • Your current data, systems and team
  • Where to start: skills, strategy or delivery

Scheduling is handled by Cal.com. Your contact details are used to arrange the meeting.