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Assess, build and run, with one accountable team before and after go-live.How we work 2 weeksfrom scattered ideas to a ranked, delivery-ready plan.The AI Assessment Data scientists and engineers shipping to production, then maintaining it.Data and AI engineering Your data stays yours, governed from the first day.Trust and governance
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2019Founded in Lisbon by engineers. Today we build and run AI for large companies across Europe.About DareData 130+engineers, data scientists and principals in Lisbon, Porto and LondonMeet the team We are hiring engineers who want to build AI that runs.See open roles 50+customers served. Tell us about yours.Talk to us

Assess, build, run. One team from the first workshop.

We find where AI pays off, build it into the way your business works and stay accountable for the result long after go-live.

Book a scoping callSee the resultsSee the results
AI projects delivered
200+
of our projects deployed to production
95%+
engineers, data scientists and principals
130+
talent retention: the people who start your project finish it
97%

Three phases, one accountable team.

Each phase ends on a decision you take on real results. The team that builds your solution is the team that runs it.

  1. 012 weeks

    Assess

    We map where AI pays off in your business, rank the opportunities and define the first build with your teams.

    • Ranked opportunities
    • Solution and data map
    • Risks and requirements
  2. 022 to 3 months

    Build

    A named team designs, integrates and tests the solution inside your systems, on your real data, with the people who will use it.

    • Integrated with your stack
    • Tested with real users
    • Supervised go-live
  3. 03After go-live

    Run

    We stay on it. We monitor every agent, measure the impact and keep improving it as your business changes.

    • Monitoring and evaluations
    • Impact measured in production
    • Continuous improvement

A named engineer, not a ticket queue.

You know who runs your AI, and they know your business.

01 · Assess · 2 weeks, fixed fee

Decide where AI pays off before you build.

Most organisations are not short of AI ideas. They are short of agreement on which problem matters most, whether the data is ready, who owns the outcome and what it would take to reach production.

Week 1

We sit with your sponsor and business owners and ask where the business loses money, and where it could earn more. A longlist of around 30 ideas becomes a shortlist of 8 to 12.

Week 2

We shape the leading candidates: the approach, the minimum architecture and governance, and what shipping each one requires. You receive the report and a readout at the end of the week.

Opportunity rankingIllustrative
  1. 01Supplier invoice triageFinance92
  2. 02Contract clause reviewLegal86
  3. 03Demand forecast by storeOperations79
  4. 04Sales call summariesCommercial71
  5. 05Field ticket routingService64

Around 30 ideas in, 8 to 12 on the shortlist

  • Ranked opportunities, scored on impact, effort, risk and dependencies
  • A solution shape for each: an application, an agent, an integration or a governance layer
  • The data, approvals, named owners and dependencies each one needs
  • From €8,000 for a single function, credited toward the build if you go ahead

02 · Build · 2 to 3 months to production

A working product, not a notebook that gathers dust.

Two or three candidates from an assessment are usually ready to move straight into a build. We build them as a minimum viable product: the smallest version that does the real job, inside your systems, on your real data.

Each build has go/no-go points, so you decide on current results. Cloud or on-premise: we adapt to your stack.

From validation to launch2 to 3 months
  1. Validate2 weeksTest the core hypotheses and the expected savings or upside
  2. Develop1 to 2 monthsBuild the machine learning model or generative AI system
  3. Launch1 monthRelease, measure, train your teams and plan the scale-up

Go/no-go point: you decide on current results

  • Data engineering included: the model is only as good as the pipeline behind it
  • Built inside your stack, with your security and approvals
  • Tested with the people who will use it, before go-live

03 · Run · Every day after go-live

We stay accountable after launch.

Most AI projects end at launch. Ours start there. The team that builds your solution is the team that runs it.

On GenOS, our platform, we monitor every agent, track performance, detect anomalies and keep improving the system as your business changes. Governance covers privacy, security, compliance and risk.

Agent health, last 30 daysIllustrative
94%answers correct
6%escalated to a person
1.8 smedian response
  • Monitoring and evaluations on every agent
  • Impact measured against the business case
  • Scaling to new markets, segments or departments
  • A planned handover to your own AI team, if you want one

The team that would build it is in the room from day one.

127 builders across Lisbon, Porto and London. The people on your project come from all of them.

  1. 01

    No handoff between advice and delivery.

    The specialists who would ship the work pressure-test feasibility from the first session. The team that recommends is the team that builds.

  2. 02

    One delivery team with yours.

    We work with your business, technical and risk teams as one team. Decisions stay shared, ownership stays clear, and the people who will use the solution are involved before anything is built.

  3. 03

    Small and senior, on both sides of the table.

    An assessment needs an executive sponsor, the leaders who own the work and the data, and whoever signs off on risk. From our side, one principal and one named engineer.

What has come out of work like this.

All success stories
50kconversations contained monthly
Media & Telecom · AI assistantsWOO cuts chat handovers from 55% to 29% and saves around €0.96MRead the story
+1Mconversations since January 2025
Public Sector · AI assistantsAMA answers +1M citizen conversations with 94% accuracyRead the story
+50,000design and material combinations explored virtually in seconds
Manufacturing · OptimisationCoficab tests 50,000 cable designs before building oneRead the story

Bring us your hardest AI problem.

Large enterprises trust us to carry AI all the way into production. We shape the use case, build it into your systems and run it with the governance your business needs.

  • 01Use cases chosen for value, not hype
  • 02Systems built into your stack and data
  • 03Run, monitored and improved after go-live
Talk to usSee success stories