What an RL environment needs from real data
An environment is only as real as its records. Agents learn multi-step work when the environment contains the same artifacts a person would touch: the request, the policy that governed it, the tools used, the exceptions that came up and the final outcome. Synthetic scenarios miss the edge cases that make training transfer to production work.
| Environment component | Real-data source | What it teaches |
|---|---|---|
| Tasks and prompts | Support tickets, deal requests, work orders | Real problems with real constraints |
| Policies and rules | SOPs, playbooks, escalation rules | The intended process agents must follow |
| Tools and state | CRM records, project trackers, ledgers | Where information lives and how it changes |
| Exceptions | Escalations, overrides, edge-case threads | How work bends when reality breaks the rule |
| Outcomes and feedback | Resolutions, QA scores, reviewer notes | What good work looks like, scored |
What DataPaid supplies
DataPaid licenses operational data from established operating companies, removes personal information where relevant, and packages it for training use. Supply comes from companies whose documentation qualifies: typically 25+ office employees with 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.
The companies behind the data keep ownership. Their records are used only as agreed and deleted under the agreed retention terms.
How sourcing works
1. Tell us the behaviors your environment must teach. Domains, task types, tools and the judgment calls your agents should learn.
2. We assemble fitting supply. A DataPaid data advisor identifies companies whose records match, DataPaid licenses the data from the companies involved, removes personal information where relevant, and packages it for training use.
3. You license the packaged dataset from DataPaid. You work with DataPaid, not with each company.
Who this is for
AI labs and enterprise AI teams building RL environments, training gyms and evaluations for knowledge work: support automation, back-office operations, finance workflows and other multi-step processes where agents must practice realistic work, not parrot synthetic text.
Frequently asked questions
Where can RL environments get realistic workflow data?
DataPaid licenses operational data from established operating companies, removes personal information where relevant, and packages the connected records of real work - tasks, policies, exceptions, outcomes and QA scores - for AI training use.
Can we get connected workflows instead of isolated records?
Yes. Connected records are the focus: a support ticket together with the SOP that governed it, the escalation it triggered and its final outcome forms one complete episode an agent can practice.
Who do we contract with?
DataPaid. You license the packaged dataset from DataPaid; DataPaid licenses the underlying data from the companies involved.
Do the companies behind the data keep ownership?
Yes. Their records are used only as agreed and deleted under the agreed retention terms.
What companies 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.