Turn documents into decisions in seconds, with exceptions sent to people.
Invoices, contracts and forms are read, matched and posted without retyping. People see only the exceptions.
- 01
Supplier invoice processing
Process every supplier invoice, and send people only the exceptions.
- 02
Energy community onboarding
Turn a customer's energy bill into a quote without retyping it.
AI in production, story by story.
Pick one to see the result, the client behind it and the full story.
Use Case · Supplier Invoice Processing~20,000Invoices received per monthNOS handles 65% of supplier invoices end to end, with no operatorA governed pipeline to process ~20,000 supplier invoices per month with human review only where it adds valueFull success story 
Use Case · Energy Community Onboarding300quotes generated per monthGreenvolt onboards 300 energy community contracts a month, same teamAI-powered onboarding pipeline for energy community contractsFull success story 
Questions
Talk to usWhat happens to documents the system cannot match?
They go to a person with the reason attached, such as a price gap or a missing order. Everything else is posted automatically.
Does it post into our ERP?
Yes. We connect to the systems you already use, and every posting is logged with its source document.
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.
Other teams
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