SolutionsTeams
Every solution here runs in production for a client, inside the team that owns the work.
Answer every customer, on every channel, with people in charge of the hard calls.
Explore Customer service
Turn documents into decisions in seconds, with exceptions sent to people.
Explore Finance and back office
Most of the work crosses teams. If yours is not here, start from the industry you work in.
~100kquestions handled in a single month
€100kin fuel savings
4.2 hoursfor all 2,800 reports with fifty agents in parallel, down from 210
350€daily savings per machine
800K+calls per month transcribed, summarised and classified
Undisclosed Client70%accuracy in detecting bluff
~20,000Invoices received per month
50kconversations contained monthly
+28%more sales meetings
90%of top-ranked companies showed measurable export growth after deployment
Undisclosed Client-75%time-to-market decreased by
10%handling call time reduction
-5kcalls per month expected
+30external data types integrated through automated extraction
Undisclosed Client300Talend jobs processed
+100requests handled per day
150kmessages exchanged
Undisclosed Client~80Active Users
94%customer correspondence accuracy
+50,000design and material combinations explored virtually in seconds
Undisclosed Client>10000foosball games covered
300quotes generated per month
7,000emails classified per month
+1Mconversations since January 2025
20%better forecast accuracy than the manual method, validated against the October to December hard close
~52 secondsper document in production, against 15–20 minutes by hand
Rui MendesHead of GrowthHave a similar problem? Book 30 minutes.No slides. We look at your use case together.Pick a time 
The team that builds your solution runs it. We monitor quality and adoption, fix what drifts and improve the solution as your business changes.
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.
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.
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.
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.
Ownership is agreed in the contract before work starts. Ask us for our standard terms on the first call.
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.
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.
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.
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.
