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How we work
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
Featured stories
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4.2 hto collect 2,800 financial reports with fifty agents in parallel, down from 210 hoursRead the story 35%more coverage of points of sale for Heineken field teamsRead the story 50k+cable designs tested virtually for CoficabRead the story 800K+calls a month transcribed, summarised and classified at NOSRead the story
Resources
Information Hygiene: The Security Discipline That Matters More Than EverRead the blog Artificial Intelligence Made in Portugal: ‘We grew more than 60% in one of the most competitive markets in the world,’ says DareData Partner.All news
Company
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

SolutionsIndustries

Public Sector

Public services that reach the people who need them.

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We help government agencies, NGOs and public institutions make better decisions, allocate resources well and deliver services that work.

  1. 01

    Service automation

    AI workflows and assistants that handle high-volume interactions, triage cases, and route work intelligently, freeing staff to focus on the decisions that require human judgment.

  2. 02

    Impact analytics

    Data platforms that turn fragmented operational data into clear visibility, helping institutions understand where resources are going, what's working, and where to act next.

  3. 03

    Data governance and compliance

    The infrastructure and controls that public sector data requires: lineage tracking, access management, audit trails, and reporting workflows built to institutional and regulatory standards from day one.

AI in production, story by story.

Pick one to see the result, the client behind it and the full story.

All success stories
+1Mconversations since January 2025AMA answers +1M citizen conversations with 94% accuracyA citizen assistant on the government portal, in text and in voiceFull success story 90%of top-ranked companies showed measurable export growth after deploymentAICEP ranks 30,000 companies by trajectory, and 90% of top picks grewThirty thousand companies, ranked by who will actually growFull success story
+1Mconversations since January 2025
Public Sector · AI assistantsAMA answers +1M citizen conversations with 94% accuracyRead the story
90%of top-ranked companies showed measurable export growth after deployment
Public Sector · OptimisationAICEP ranks 30,000 companies by trajectory, and 90% of top picks grewRead the story

Questions

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How does a public institution start?

With a short assessment that ranks opportunities by value, feasibility, data and risk, so the first project is one you can justify.

What happens after go-live?

The team that builds your solution runs it. We monitor quality and adoption, fix what drifts and improve the solution as your business changes.

Where does our data live?

You decide. We deploy in our cloud, in your own cloud account or on your servers, and your data stays inside that perimeter under your rules.

Do we need an AI strategy before we start?

No. If you already have a use case with an owner, workable data and internal agreement, we can build it. If not, the AI Assessment finds and ranks the opportunities first.

Can you work with our own data and IT teams?

Yes. We adapt to your stack and work side by side with your engineers. We can also plan the move from a DareData team to your own team over time.

Which AI models do you use?

We are not tied to one provider. GenOS works with models such as Claude, GPT, Gemini, Mistral and Llama, and we pick per task for accuracy, cost and where the data may go.

Who owns what we build together?

Ownership is agreed in the contract before work starts. Ask us for our standard terms on the first call.

How is a project priced?

It depends on scope, length and the team it needs. After a first conversation we send a proposal fitted to your case, not a price list.

How do you keep our data secure?

Every solution runs on GenOS, with guardrails, access rules and a log of each answer, action and model call. Your security and risk owners review the design before anything goes live.

How soon do we see results?

The AI Assessment takes two working weeks and ends with a ranked plan. Most of our builds reach production in two to six months, depending on scope and data.

Other industries

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
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