
Financial Services
Claims, compliance and client service that hold up to an audit.
SolutionsIndustries
We know the systems, rules and pressures of each industry we work in, and every use case has a client behind it.

Claims, compliance and client service that hold up to an audit.

Production and energy that already run on data and need it to act.

Research, quality and care, with privacy and validation built in.

Smarter decisions from first mile to last.

Expertise that scales without more hours.

Public services that reach the people who need them.

Brands, stores and shopping centres with distributed teams and demanding customers.

Contact centres and back offices that serve millions of customers every day.
Most of the work crosses sectors. If your industry is not here, start from the team that does the work.

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.