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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

SolutionsWhat We Build

Customer service agents

Resolve customer requests on chat, voice and WhatsApp, and hand over to a person when it matters.

See the use casesTalk to us
~€0.96Msaved since launch, with 50k conversations a month resolved without a handoverRead the story

Built on GenOS, run by the team that built it.

GenOS is our engine: it connects the solution to your systems, keeps people in charge of the decisions that matter and logs every step.

About GenOS
  1. 01

    Answers from your own sources

    The agent answers from your policies, FAQs and systems, and cites the source behind every reply.

  2. 02

    Actions in your systems

    It checks orders, bookings and accounts in the tools your teams already use, within the limits you set.

  3. 03

    People on the hard calls

    Refunds above a limit, complaints and edge cases go to a person, with the full conversation attached.

Where it runs today.

Pick one to see the result, the client behind it and the industry it runs in.

5kfewer calls expected each monthAnswer routine calls by voice, and hand the hard ones to people.A conversational voice assistant settles billing questions in four turns or fewer and passes anything outside its limits to an operator.Full success story €500ksaved since launchResolve most conversations in chat, with a clean handover when a person is needed.An AI chat assistant answers customers on the brand's own channels and sends fewer conversations to the contact centre.Full success story
Voice Customer Support5kfewer calls expected each monthAnswer routine calls by voice, and hand the hard ones to people.A conversational voice assistant settles billing questions in four turns or fewer and passes anything outside its limits to an operator.Full success story Chat Customer Support€500ksaved since launchResolve most conversations in chat, with a clean handover when a person is needed.An AI chat assistant answers customers on the brand's own channels and sends fewer conversations to the contact centre.Full success story

Questions

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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 solutions

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