Diraflow
Diraflow
Diraflow is a specialist data company for frontier AI teams — founded on the belief that model quality begins long before training, in the data that shapes it.
We started Diraflow because we kept seeing the same problem: teams building frontier models were settling for training data that was fast to produce, cheap to acquire, and deeply inadequate for the systems they were trying to build.
Our answer was to build a different kind of data company — one where quality is a constraint, not a target to be traded off. We operate with expert contributors, rigorous quality infrastructure, and a level of transparency about how data is produced that most of the industry avoids.
The models trained on our data are better. That is the only metric we ultimately care about.
We do not treat data quality as one variable to be traded off against cost or speed. It is the constraint everything else is optimised around.
Every label, every rationale, every annotation in our datasets is produced by a human expert. We do not use AI to fill in gaps or scale cheaply.
Our contributor network spans 40+ countries and 30+ languages. We don't approximate diversity — we build it in from the start.
We track inter-annotator agreement, within-annotator consistency, and rationale quality on every project. Quality is auditable, not assumed.
We document how our data is produced. Our clients can see the methodology, the annotator profile, and the QA process — not just the output.
The data you build today shapes models trained years from now. We optimise for compounding returns, not short-term delivery metrics.
Talk to our team about your next training data project. We respond within one business day.
