What you can license through DataPaid
AI agents learn multi-step work from records of how real work gets done. DataPaid packages this operational data into datasets for AI training, sourced from established companies whose data qualifies:
| Data type | Examples | What it teaches |
|---|---|---|
| SOPs and playbooks | Refund policy, onboarding steps, escalation rules | The intended process |
| Knowledge bases | Help centers, internal wikis, macros | Domain knowledge agents must use |
| CRM history | Deal stages, activities, notes metadata | How decisions move over time |
| Support tickets | Ticket threads, tags, resolutions | Real cases with real exceptions |
| QA processes | Scorecards, reviewer notes, rubrics | What good work looks like |
| Project histories | Plans, tickets, retrospectives | Multi-step work with outcomes |
| Decision records | Approvals, reviews, meeting notes | How judgment calls get made |
| Finance workflows | Reconciliations, approvals, close checklists | Precise, rule-heavy processes |
How it works
1. Tell us what your models need. Domains, task types, languages and the workflows your agents must learn.
2. We assemble the dataset. A DataPaid data advisor identifies fitting supply, and DataPaid licenses the data from the companies involved, removes personal information where relevant, and packages it for training use.
3. You license the dataset from DataPaid. DataPaid licenses the underlying data from the companies involved and handles preparation, so you work with DataPaid, not with each company.
Who this is for
Data teams at AI labs and enterprise AI teams building agents that do real work: support automation, back-office operations, finance workflows and other multi-step processes where generic web text is not enough. The strongest fit is teams that need connected workflows, where a ticket, the SOP that governed it, the QA score it received and the final outcome form one complete lesson.
Why real operational data
A support ticket alone is a snapshot. The ticket plus the SOP that governed it, the QA score it received and the final outcome is a complete lesson. Agents trained on connected operational data practice real workflows instead of synthetic approximations. The companies behind the data keep ownership; it is used only as agreed and deleted under the agreed retention terms.
Frequently asked questions
What data can I license from DataPaid?
Datasets built from records of how real work gets done: SOPs and playbooks, knowledge bases, CRM and pipeline history, support tickets, QA processes, project histories, decision records and human feedback on AI outputs. Personal information is removed where relevant before packaging.
How does it work?
Tell us what your models need. A DataPaid data advisor identifies fitting supply, DataPaid licenses the data from the companies involved, and you license the packaged dataset from DataPaid.
Who do we contract with?
DataPaid. You license the dataset from DataPaid; DataPaid licenses the underlying data from the companies involved.
Where does the data come from?
Established operating companies and nonprofits, typically 25+ office employees with documented processes and at least 70% English-language data, based in the U.S., Canada, the EU, the UK, Australia, New Zealand, India, Singapore, South Africa, Latin America, the UAE and Saudi Arabia. Every company is reviewed before its data qualifies.