Conversational Data
Multi-turn conversational training data from real work: negotiations, multi-stakeholder coordination, and long-horizon dialogues with outcomes, not scripted chat transcripts.
The conversations that never made it to the internet
The highest-value conversational data is not chat about topics. It is work conducted through conversation: a dispatcher talking a freight rate down on a live call, a recruiter re-engaging a candidate who went silent, a payroll specialist explaining a discrepancy to an anxious employee. You can only get so much of that from public text. We capture it at the source.
Multi-turn means multi-party
Most conversational datasets are two-party and single-session. Real coordination work spans days and stakeholders. Our conversational episodes are built from long-horizon workflows where the agent must manage several humans at once, and where success is graded on the pipeline outcome, not the politeness of individual turns. When counterparts behave badly, stalling, refusing, replying with noise, that behavior is in the data, because it is in the job.
Beyond role-specific: horizontal scenarios
Role-specific dialogue is well served. The harder gap is horizontal information-worker conversation: the catch-me-up-after-vacation request, the what-do-I-owe-people query, work so diverse there is no one right way to do it. Those scenarios need query sets sourced across many kinds of users and a much richer corpus per use case. That sourcing breadth is exactly what our expert network is built for.
What ships in the box
Dialogues drawn from work where the conversation is the job, negotiating a rate, chasing an approval, recovering a stalled counterpart.
Long-horizon threads across several participants who stall, refuse, deviate, or contradict each other, graded on the outcome of the whole exchange.
Sourced from working professionals, not crowdworkers role-playing a job they have never done.
Where agents fail a conversational episode, experts correct it. Demonstrations and preference pairs come from the same practitioners who authored the tasks.
Spoken interactions and written threads, captured with consent and compensated at every stage.
For broad information-worker scenarios, query sets are sourced across many different users, because diverse work has no single right answer.
See it before you buy it.
Sample task packets and environment access for evaluation. Tell us the capability you care about and we will send the relevant cut.